NeuronMCP Tool and Resource Catalog

Complete catalog of all tools and resources available through NeuronMCP.

Tools Catalog

NeuronMCP provides 600+ tools organized into the following categories. This catalog shows the main tool categories and representative tools. For a complete list of all tools, see the tool registration code or use the tools/list MCP method.

Tool Categories:

Vector Operations: 100+ tools
ML Tools: 50+ tools
RAG Operations: 15+ tools
PostgreSQL Tools: 100+ tools
Debugging Tools: 5+ tools
Composition Tools: 4+ tools
Workflow Tools: 4+ tools
Plugin Tools: 6+ tools
Developer Experience Tools: 10+ tools
Enterprise Tools: 20+ tools
Monitoring & Analytics Tools: 10+ tools
AI Intelligence Tools: 10+ tools
... and more categories

Vector Operations (12+ tools)

Tool	Description	Parameters
`vector_search`	Vector similarity search with configurable distance metrics	table, vector_column, query_vector, limit, distance_metric, additional_columns
`vector_search_l2`	L2 (Euclidean) distance search	table, vector_column, query_vector, limit
`vector_search_cosine`	Cosine similarity search	table, vector_column, query_vector, limit
`vector_search_inner_product`	Inner product search	table, vector_column, query_vector, limit
`vector_search_l1`	L1 (Manhattan) distance search	table, vector_column, query_vector, limit
`vector_search_hamming`	Hamming distance search	table, vector_column, query_vector, limit
`vector_search_chebyshev`	Chebyshev distance search	table, vector_column, query_vector, limit
`vector_search_minkowski`	Minkowski distance search	table, vector_column, query_vector, limit, p_value
`vector_similarity`	Calculate vector similarity	vector1, vector2, metric
`vector_arithmetic`	Vector arithmetic operations	operation, vector1, vector2, scalar
`vector_distance`	Compute distance between vectors	vector1, vector2, metric, p_value, covariance
`vector_similarity_unified`	Unified vector similarity with multiple metrics	vector1, vector2, metrics

Vector Quantization (7 tools)

Tool	Description	Parameters
`vector_quantize`	Quantize/dequantize vectors	operation, vector, data
`quantization_analyze`	Analyze quantization impact	table, vector_column, operation

Supported Quantization Types:

int8 (8-bit integer)
fp16 (16-bit floating point)
binary (1-bit)
uint8 (unsigned 8-bit integer)
ternary (2-bit)
int4 (4-bit integer)

Embeddings (8 tools)

Tool	Description	Parameters
`generate_embedding`	Generate text embedding	text, model
`batch_embedding`	Batch generate embeddings	texts[], model
`embed_image`	Generate image embedding	image_data (base64), model
`embed_multimodal`	Multimodal embedding (text + image)	text, image_data, model
`embed_cached`	Use cached embedding if available	text, model
`configure_embedding_model`	Configure embedding model	model_name, config_json
`get_embedding_model_config`	Get model configuration	model_name
`list_embedding_model_configs`	List all model configurations	-
`delete_embedding_model_config`	Delete model configuration	model_name

Hybrid Search (7 tools)

Tool	Description	Parameters
`hybrid_search`	Semantic + lexical search	table, query_vector, query_text, vector_column, text_column, vector_weight, limit, filters
`reciprocal_rank_fusion`	RRF on multiple rankings	rankings[], k
`semantic_keyword_search`	Semantic + keyword search	table, semantic_query, keyword_query, top_k
`multi_vector_search`	Multiple embeddings per document	table, query_vectors[], weights[], limit
`faceted_vector_search`	Category-aware retrieval	table, query_vector, facets, limit
`temporal_vector_search`	Time-decay relevance scoring	table, query_vector, time_column, decay_factor, limit
`diverse_vector_search`	Diverse result set	table, query_vector, diversity_factor, limit

Reranking (6 tools)

Tool	Description	Parameters
`rerank_cross_encoder`	Cross-encoder reranking	query, documents[], model, top_k
`rerank_llm`	LLM-powered reranking	query, documents[], model, top_k
`rerank_cohere`	Cohere reranking API	query, documents[], top_k
`rerank_colbert`	ColBERT reranking	query, documents[], top_k
`rerank_ltr`	Learning-to-rank reranking	query, documents[], features, top_k
`rerank_ensemble`	Ensemble reranking	query, documents[], methods[], weights[], top_k

Machine Learning (8 tools)

Tool	Description	Parameters
`train_model`	Train ML model	algorithm, table, feature_col, label_col, params, project
`predict`	Single prediction	model_id, features
`predict_batch`	Batch prediction	model_id, features[]
`evaluate_model`	Evaluate model	model_id, table, feature_col, label_col
`list_models`	List all models	project, algorithm
`get_model_info`	Get model details	model_id
`delete_model`	Delete model	model_id
`export_model`	Export model	model_id, format

Supported Algorithms:

Classification: logistic, random_forest, svm, knn, decision_tree, naive_bayes
Regression: linear_regression, ridge, lasso
Clustering: kmeans, gmm, dbscan, hierarchical

Analytics (7 tools)

Tool	Description	Parameters
`analyze_data`	General data analysis	table, columns
`cluster_data`	Clustering analysis	algorithm, table, vector_column, k, eps
`reduce_dimensionality`	Dimensionality reduction (PCA)	table, vector_column, dimensions
`detect_outliers`	Outlier detection	method, table, vector_column, threshold
`quality_metrics`	Quality metrics (Recall@K, Precision@K, etc.)	metric, table, k, ground_truth_col, predicted_col
`detect_drift`	Data drift detection	method, table, vector_column, reference_table, threshold
`topic_discovery`	Topic modeling	table, text_column, num_topics

Time Series (1 tool)

Tool	Description	Parameters
`timeseries_analysis`	Time series analysis	table, time_column, value_column, method, params

Methods: ARIMA, forecasting, seasonal_decomposition

AutoML (1 tool)

Tool	Description	Parameters
`automl`	Automated ML pipeline	task_type, table, feature_col, label_col, constraints

ONNX (4 tools)

Tool	Description	Parameters
`onnx_model`	ONNX model operations	operation, model_path, input_data

Operations: import, export, info, predict

Index Management (6 tools)

Tool	Description	Parameters
`create_hnsw_index`	Create HNSW index	table, vector_column, index_name, m, ef_construction
`create_ivf_index`	Create IVF index	table, vector_column, index_name, num_lists, probes
`index_status`	Get index status	table, index_name
`drop_index`	Drop index	table, index_name
`tune_hnsw_index`	Auto-tune HNSW parameters	table, vector_column
`tune_ivf_index`	Auto-tune IVF parameters	table, vector_column

RAG Operations (15+ tools)

Tool	Description	Parameters
`process_document`	Process document for RAG	document, chunk_size, overlap
`retrieve_context`	Retrieve context for query	query, table, limit, rerank
`generate_response`	Generate RAG response	query, context, model
`chunk_document`	Chunk document	document, strategy, size
`ingest_documents`	Ingest multiple documents	documents[], pipeline_config
`answer_with_citations`	Generate answer with citations	query, context, model
`rag_evaluate`	Evaluate RAG pipeline	pipeline_id, test_queries[]
`rag_chat`	RAG chat interface	query, session_id, pipeline_id
`rag_hybrid`	Hybrid RAG search	query, vector_weight, text_weight
`rag_rerank`	RAG with reranking	query, reranker, top_k
`rag_hyde`	Hypothetical Document Embeddings	query, generate_count
`rag_graph`	Graph-based RAG	query, graph_config
`rag_corrective`	Corrective RAG	query, feedback_loop
`rag_agentic`	Agentic RAG	query, agent_config
`rag_contextual`	Contextual RAG	query, context_window
`rag_modular`	Modular RAG pipeline	query, module_config

Workers & GPU (2+ tools)

Tool	Description	Parameters
`worker_management`	Manage background workers	operation, worker_type
`gpu_info`	Get GPU information	-

Vector Graph (1 tool)

Tool	Description	Parameters
`vector_graph`	Graph operations on vgraph	operation, graph, start_node, max_depth, damping_factor

Operations: bfs, dfs, pagerank, community_detection

Vecmap Operations (1 tool)

Tool	Description	Parameters
`vecmap_operations`	Sparse vector operations	operation, vecmap1, vecmap2, scalar

Operations: l2_distance, cosine_distance, inner_product, l1_distance, add, subtract, multiply_scalar, norm

Dataset Loading (1 tool)

Tool	Description	Parameters
`load_dataset`	Load datasets from various sources	source_type, source_path, format, auto_embed, create_indexes

Source Types: huggingface, url, github, s3, local

PostgreSQL (100+ tools)

Note: This is a comprehensive category with tools for complete database control. Categories include:

Server Information (8 tools): version, stats, databases, connections, locks, replication, settings, extensions
Database Object Management (8 tools): tables, indexes, schemas, views, sequences, functions, triggers, constraints
User and Role Management (3 tools): users, roles, permissions
Performance and Statistics (4 tools): table stats, index stats, active queries, wait events
Size and Storage (4 tools): table size, index size, bloat, vacuum stats
Administration (16 tools): explain, vacuum, analyze, reindex, transactions, query management, config, partitions, FDW
Query Execution & Management (6 tools): execute query, query plan, cancel query, kill query, query history, optimization
Database & Schema Management (6 tools): create/alter/drop database, create/alter/drop schema
User & Role Management (6 tools): create/alter/drop user, create/alter/drop role
Permission Management (4 tools): grant, revoke, grant role, revoke role
Backup & Recovery (6 tools): backup database, restore database, backup table, list backups, verify backup, schedule backup
Schema Modification (7 tools): create/alter/drop table, create index, create view, create function, create trigger
Object Management (17 tools): alter/drop for indexes, views, functions, triggers, sequences, types, domains
Data Manipulation (5 tools): INSERT, UPDATE, DELETE, TRUNCATE, COPY
Advanced DDL (10 tools): materialized views, partitions, foreign tables
High Availability (5 tools): replication lag, promote replica, sync status, cluster, failover
Security (7 tools): audit log, security scan, compliance check, encryption status, SQL validation, permission checking, audit operations
Maintenance (1 tool): maintenance windows

Representative Tools:

Tool	Description	Parameters
`postgresql_version`	Get PostgreSQL version	-
`postgresql_stats`	Get server statistics	include_database_stats, include_table_stats, include_connection_stats
`postgresql_databases`	List databases	-
`postgresql_connections`	Get connection info	-
`postgresql_locks`	Get lock information	-
`postgresql_replication`	Get replication status	-
`postgresql_settings`	Get configuration settings	-
`postgresql_extensions`	List extensions	-
`postgresql_execute_query`	Execute SQL query	query, params
`postgresql_query_plan`	Get query execution plan	query
`postgresql_cancel_query`	Cancel running query	pid
`postgresql_create_table`	Create table	table_name, columns, constraints
`postgresql_alter_table`	Alter table	table_name, changes
`postgresql_drop_table`	Drop table	table_name
`postgresql_create_index`	Create index	table_name, index_name, columns, index_type
`postgresql_backup_database`	Backup database	database_name, backup_path
`postgresql_restore_database`	Restore database	database_name, backup_path
`postgresql_grant`	Grant permissions	role, object, privileges
`postgresql_revoke`	Revoke permissions	role, object, privileges
`postgresql_create_user`	Create user	username, password, options
`postgresql_alter_user`	Alter user	username, changes
`postgresql_drop_user`	Drop user	username
`postgresql_vacuum`	Run VACUUM	table_name, options
`postgresql_analyze`	Run ANALYZE	table_name
`postgresql_explain`	Explain query	query
`postgresql_explain_analyze`	Explain and analyze query	query
... and 70+ more PostgreSQL tools

Debugging Tools (5+ tools)

Tool	Description	Parameters
`debug_tool_call`	Debug tool call execution	tool_name, arguments, trace_level
`debug_query_plan`	Analyze and debug query plans	query, explain_options
`monitor_active_connections`	Monitor active database connections	filters
`monitor_query_performance`	Monitor query performance metrics	time_window, filters
`trace_request`	Trace MCP request execution	request_id, trace_level

Composition Tools (4+ tools)

Tool	Description	Parameters
`tool_chain`	Chain multiple tools in sequence	tools[], inputs[]
`tool_parallel`	Execute tools in parallel	tools[], inputs[]
`tool_conditional`	Conditional tool execution	condition, true_tool, false_tool, inputs
`tool_retry`	Retry tool execution with backoff	tool_name, max_retries, backoff_strategy, inputs

Workflow Tools (4+ tools)

Tool	Description	Parameters
`create_workflow`	Create a new workflow	name, steps[], config
`execute_workflow`	Execute a workflow	workflow_id, inputs
`workflow_status`	Get workflow execution status	workflow_id, execution_id
`list_workflows`	List all workflows	filters

Plugin Tools (6+ tools)

Tool	Description	Parameters
`plugin_marketplace`	Browse plugin marketplace	category, filters
`plugin_hot_reload`	Hot reload plugin	plugin_id
`plugin_versioning`	Manage plugin versions	plugin_id, version, operation
`plugin_sandbox`	Test plugin in sandbox	plugin_code, test_inputs
`plugin_testing`	Run plugin tests	plugin_id, test_suite
`plugin_builder`	Build custom plugin	plugin_config, code

Developer Experience Tools (10+ tools)

Tool	Description	Parameters
`nl_to_sql`	Convert natural language to SQL	query, schema_info
`sql_to_nl`	Convert SQL to natural language	sql_query
`query_builder`	Build SQL queries interactively	schema, conditions, operations
`code_generator`	Generate code from specifications	language, spec, templates
`test_data_generator`	Generate test data	schema, count, constraints
`schema_visualizer`	Visualize database schema	schema_name, format
`query_explainer`	Explain query in natural language	query
`schema_documentation`	Generate schema documentation	schema_name, format
`migration_generator`	Generate migration scripts	source_schema, target_schema
`sdk_generator`	Generate SDK code	language, api_spec

Enterprise Tools (20+ tools)

Tool	Description	Parameters
`multi_tenant_management`	Manage multi-tenant configurations	tenant_id, operation, config
`data_governance`	Data governance policies	policy_type, rules
`data_lineage`	Track data lineage	table_name, depth
`compliance_reporter`	Generate compliance reports	report_type, filters
`audit_analyzer`	Analyze audit logs	time_range, filters
`backup_automation`	Automate backup operations	schedule, retention
`query_result_cache`	Manage query result cache	operation, cache_key
`cache_optimizer`	Optimize cache settings	analysis_type
`performance_benchmark`	Run performance benchmarks	benchmark_type, config
`auto_scaling_advisor`	Get auto-scaling recommendations	metrics, thresholds
`slow_query_analyzer`	Analyze slow queries	time_window, threshold
`real_time_dashboard`	Create real-time dashboards	metrics[], refresh_rate
`anomaly_detection`	Detect anomalies	metric, time_window, threshold
`predictive_analytics`	Predictive analytics	model_type, data, horizon
`cost_forecasting`	Forecast costs	time_horizon, factors
`usage_analytics`	Usage analytics	time_range, dimensions
`alert_manager`	Manage alerts	alert_config, rules

AI Intelligence Tools (10+ tools)

Tool	Description	Parameters
`ai_model_orchestration`	Orchestrate AI models	models[], pipeline_config
`ai_cost_tracking`	Track AI costs	time_range, model_filters
`ai_embedding_quality`	Assess embedding quality	embeddings[], metrics
`ai_model_comparison`	Compare AI models	models[], test_data
`ai_rag_evaluation`	Evaluate RAG systems	pipeline_id, test_queries
`ai_embedding_drift_detection`	Detect embedding drift	baseline, current, threshold
`ai_model_finetuning`	Fine-tune AI models	base_model, training_data, config
`ai_prompt_versioning`	Version control prompts	prompt_id, version, changes
`ai_token_optimization`	Optimize token usage	text, model, target_reduction
`ai_multi_model_ensemble`	Create model ensembles	models[], weights[], strategy

PostgreSQL Advanced Tools (10+ tools)

Tool	Description	Parameters
`postgresql_query_optimizer`	Optimize SQL queries	query, options
`postgresql_performance_insights`	Get performance insights	time_range, metrics
`postgresql_index_advisor`	Get index recommendations	query, workload
`postgresql_query_plan_analyzer`	Analyze query plans	query, options
`postgresql_schema_evolution`	Manage schema evolution	source_schema, target_schema
`postgresql_migration`	Database migration tools	source, target, options
`postgresql_connection_pool_optimizer`	Optimize connection pools	current_config, workload
`postgresql_vacuum_analyzer`	Analyze vacuum needs	table_name, options
`postgresql_replication_lag_monitor`	Monitor replication lag	replica_name
`postgresql_wait_event_analyzer`	Analyze wait events	time_range, filters

Resources Catalog

NeuronMCP provides the following resources:

Schema Resources

Resource URI	Description	MIME Type
`neurondb://schema/tables`	List all tables with vector columns	`application/json`
`neurondb://schema/table/{table_name}`	Table schema details	`application/json`
`neurondb://schema/columns/{table_name}`	Column definitions for a table	`application/json`
`neurondb://schema/indexes`	List all indexes	`application/json`
`neurondb://schema/index/{index_name}`	Index details	`application/json`

Model Resources

Resource URI	Description	MIME Type
`neurondb://models`	List all trained models	`application/json`
`neurondb://model/{model_id}`	Model metadata and information	`application/json`
`neurondb://model/{model_id}/metrics`	Model evaluation metrics	`application/json`
`neurondb://model/{model_id}/predictions`	Model prediction history	`application/json`

Index Resources

Resource URI	Description	MIME Type
`neurondb://indexes`	List all vector indexes	`application/json`
`neurondb://index/{index_name}/stats`	Index statistics	`application/json`
`neurondb://index/{index_name}/status`	Index build status	`application/json`

Configuration Resources

Resource URI	Description	MIME Type
`neurondb://config`	Current NeuronDB configuration	`application/json`
`neurondb://config/gpu`	GPU configuration	`application/json`
`neurondb://config/llm`	LLM provider configuration	`application/json`

Worker Resources

Resource URI	Description	MIME Type
`neurondb://workers`	List all background workers	`application/json`
`neurondb://worker/{worker_name}/status`	Worker status	`application/json`
`neurondb://worker/{worker_name}/queue`	Worker queue status	`application/json`

Statistics Resources

Resource URI	Description	MIME Type
`neurondb://stats/overview`	Overview statistics	`application/json`
`neurondb://stats/performance`	Performance metrics	`application/json`
`neurondb://stats/usage`	Usage statistics	`application/json`

Tool Discovery

To discover available tools programmatically:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list",
  "params": {}
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "tools": [
      {
        "name": "vector_search",
        "description": "Perform vector similarity search",
        "inputSchema": {
          "type": "object",
          "properties": {
            "table": {"type": "string"},
            "vector_column": {"type": "string"},
            "query_vector": {"type": "array", "items": {"type": "number"}},
            "limit": {"type": "integer", "default": 10}
          },
          "required": ["table", "vector_column", "query_vector"]
        }
      }
    ]
  }
}

Resource Discovery

To discover available resources:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "resources/list",
  "params": {}
}

Response:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "resources": [
      {
        "uri": "neurondb://schema/tables",
        "name": "Tables",
        "description": "List all tables with vector columns",
        "mimeType": "application/json"
      }
    ]
  }
}

Tool & Resource Catalog - This document; tool documentation and examples
PostgreSQL tools - PostgreSQL-specific tools
Examples - Example client usage and transcripts
README - NeuronMCP overview and setup

NeuronMCP Tool and Resource Catalog

NeuronMCP Tool and Resource Catalog

Tools Catalog

Vector Operations (12+ tools)

Vector Quantization (7 tools)

Embeddings (8 tools)

Hybrid Search (7 tools)

Reranking (6 tools)

Machine Learning (8 tools)

Analytics (7 tools)

Time Series (1 tool)

AutoML (1 tool)

ONNX (4 tools)

Index Management (6 tools)

RAG Operations (15+ tools)

Workers & GPU (2+ tools)

Vector Graph (1 tool)

Vecmap Operations (1 tool)

Dataset Loading (1 tool)

PostgreSQL (100+ tools)

Debugging Tools (5+ tools)

Composition Tools (4+ tools)

Workflow Tools (4+ tools)

Plugin Tools (6+ tools)

Developer Experience Tools (10+ tools)

Enterprise Tools (20+ tools)

AI Intelligence Tools (10+ tools)

PostgreSQL Advanced Tools (10+ tools)

Resources Catalog

Schema Resources

Model Resources

Index Resources

Configuration Resources

Worker Resources

Statistics Resources

Tool Discovery

Resource Discovery

Related Documentation