"Code intelligence tools for LLMs to understand codebase structure and locate functionality" matching MCP servers:

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

A Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.

A Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.

Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.

Provides KPI tools for factory intelligence, including productivity, quality, downtime metrics, and alarm analysis via TimescaleDB.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

Enables LLMs to discover and invoke generated CRUD operations as MCP tools and read data through MCP resources, alongside standard REST endpoints, using one codebase.

Turns any OData V2 or V4 service, SAP Gateway included, into MCP tools that AI clients such as Claude, ChatGPT, Copilot, and Cursor can call without code by reading $metadata. It lets models discover entity sets and fields, then query services through built-in read-only tools.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

An MCP server that enables large language models to interact directly with MongoDB databases, allowing them to query collections, inspect schemas, and manage data through natural language.

A Model Context Protocol server that enables large language models to interact directly with Couchbase databases through natural language, supporting operations like querying buckets, performing CRUD operations, and executing N1QL queries.

Read-only MCP server exposing the Construction Intelligence Platform's project discovery interface via search_projects and fetch_project tools, returning Pydantic business objects from the ci_market_state DuckDB table without requiring SQL.

Enables governed analytics and research on land development optionality, infrastructure proximity, and stewardship via MCP tools that provide transparent screening heuristics and reproducible evidence.

An autonomous MCP server that enables LLMs to intelligently query and analyze MongoDB databases by reverse-engineering schemas, proving relationships, and enforcing security safeguards like PII masking and query limits.

An MCP server that indexes local Python projects into a SQLite database to enable efficient symbol searching and dependency tracking. It allows users to find function or class definitions, trace module imports, and read file contents through natural language interfaces.

MCP data connector for Jazz v2 alpha servers, providing schema discovery and query/read tools with optional mutation capabilities for application data.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.