"A source for finding podcasts" matching MCP servers:

一个基于Model Context Protocol的SQLite数据库查询服务，为AI应用提供标准化的数据库访问、安全的SQL查询执行以及表结构预览功能。

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Runs a local, read-only knowledge graph over MCP, enabling graph queries, path finding, explanations, neighbor exploration, statistics, and god-node discovery without cloud dependencies.

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.

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

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP Ariba Source (beta): https://www.cdata.com/download/download.aspx?sku=PBZK-V&type=beta

Enables consultation of Brazilian NFC-e (electronic invoice) data from the official SEFAZ BA source via a read-only MCP server, with pay-per-use credits.

Enables AI clients to securely interact with Oracle databases using natural-language prompts, translating requests into structured queries and returning results for AI-powered data access.

Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.

Enables AI clients to interact with PostgreSQL databases through natural language, translating requests into structured queries and returning results via a secure self-hosted server.

Provides LLMs with persistent memory across conversations using a knowledge graph that stores entities, relationships, and observations with support for PostgreSQL or SQLite backends.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Enables clients to resolve drug name sets into exact source identities and check every unordered pair in a prescription list against hash-pinned DDInter-derived source assertions of one to eight drug names. Returns recorded interaction evidence or an explicit unknown/ambiguous status, never treating missing evidence as a no-interaction finding, and performs no writes.

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

A read-only MCP server that enables Cursor IDE to query MongoDB databases for debugging and development, supporting collection listing, document finding, and counting.