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A database query service that enables users to search and retrieve data from PostgreSQL tables for Cheery Exeedcars FAQs and system menus through multiple connection methods (STDIO, HTTP, SSE).

Enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. Supports feature importance calculation, correlation analysis, recursive feature elimination, and model evaluation with integrated visualization capabilities.

Query FEC campaign finance data — search candidates, track donations, analyze spending, and monitor Super PAC activity via the OpenFEC API.

Macro economic intelligence MCP — 13 tools powered by 86 FRED series + ECB data covering Fed rates, inflation (CPI/PCE), yield curve, GDP, recession probability, and regime classification. Every response ES256K signed.

Enables LLMs to interact with Feishu Base (Lark) databases by providing comprehensive tools for managing records, tables, and schemas. It supports full CRUD operations on database entries and structural modifications to table fields through the Model Context Protocol.

Provides access to Fellow.ai meeting data including transcripts, summaries, action items, and participants, with local SQLite caching for fast searches and offline access.

Enables read-only access to FileMaker databases through the Data API, allowing users to retrieve records, analyze metadata, search across layouts, and infer relationships while maintaining data security.

Enables comprehensive file and document operations including image compression, archive creation/extraction, file copying/moving, PDF merging/splitting/conversion, SQLite database queries, and advanced text processing.

A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.

An MCP server that enables Claude Desktop to access and analyze financial data through Yahoo Finance integration.

FinData MCP gives AI agents access to market data, company fundamentals, and macroeconomic indicators via MCP. It covers stocks, ETFs, crypto, forex, commodities, and economic time series.

Firebase Realtime Database

A Model Context Protocol (MCP) server for Firebird databases intended for local use. It reads connection details from FlameRobin's fr_databases.conf so no extra configuration is needed — if you have FlameRobin set up with your Firebird databases, this server works out of the box.

Enables natural language querying of MongoDB data by transforming AI agent questions into MongoDB aggregations. Supports secure data separation, semantic vector search, and advanced lookup capabilities for database interactions.

Governed multi-agent memory for AI agents. Hybrid markdown + SQLite store with full-text search, vector retrieval, and LLM reranking. Three transports: MCP stdio, HTTP JSON-RPC, and MCP SSE. One Go binary

MCP server for verifying Russian counterparties (legal entities and individual entrepreneurs) via public Federal Tax Service data: EGRUL/EGRIP, bankruptcy registry (EFRSB), Transparent Business, bailiff service (FSSP), and arbitration courts (KAD).

The intelligent data query plugin under DataFocus that supports multi-round conversations provides plug-and-play ChatBI capabilities.

Enables AI assistants to analyze cloud billing data in FOCUS format through natural language queries. Provides 36+ predefined cost analysis queries, custom SQL execution, and schema documentation for multi-cloud cost optimization and FinOps practices.

Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.