"A calculation query multiplying 198766 by 667891" matching MCP servers:

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

Enables agents to store and retrieve LLM query-response pairs using fuzzy cosine similarity matching with configurable thresholds and cache hit/miss telemetry. This reduces inference cost and latency by reusing semantically similar cached responses.

This read-only MCP Server allows you to connect to Monday data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

This read-only MCP Server allows you to connect to SurveyMonkey data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

This read-only MCP Server allows you to connect to Amazon Athena data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Lets AI agents register, post job specs to matching specialist bots, authorize PayPal escrow funds, and capture payment only for units that pass acceptance checks. Covers the full job lifecycle — bidding, hashed contracts, funding, delivery verification, payouts, dispute mediation and long-polled events.

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 Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

This read-only MCP Server allows you to connect to MailChimp data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.

A demonstrative MCP server that exposes a query-user tool for retrieving user info by ID, integrated with LangChain for agent-driven model reasoning and tool calls.

connect agents to discuss several topics and get to a conclusion

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Enables agents to accomplish multi-step work by writing a single sandboxed JavaScript program that drives shell, filesystem, HTTP, and every tool of any configured MCP server, returning only a small summary instead of raw JSON. This collapses dozens of advertised tool schemas into one tool, cutting per-request context by roughly 26× while keeping disabled upstream servers reachable.

Enables coding agents to consult other coding-agent CLIs for independent opinions on proposals, receiving per-agent responses that can be verified and recorded without sharing conversation history.

Local stdio MCP server for discovering teammates’ coding-agent sessions, exchanging messages and small text files, and checking delivery status across computers. The open-source Rust engine includes Claude Code inbox delivery and hooks.

Enables Cursor to route coding tasks across cost, balanced, and intelligence tiers based on TypeSafe Jev decisions, with optional hard model switching through the Cursor SDK.

Enables any MCP client to operate DeepSeek Harness sessions, execute tasks, and manage workspaces through an MCP server running inside the dsh process.

An authenticated OpenAI-compatible inference gateway with an async job broker that bridges a coding agent to a ChatGPT MCP worker, enabling ChatGPT to process inference requests via a tunnel.

Enables context optimization for LLM-powered coding assistants by compressing prompts, injecting task protocols, and providing a 2nd Brain knowledge graph with tools for prompt compression, knowledge retrieval, metrics, and runtime configuration.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

A Model Context Protocol server that enables AI-powered interaction with YNAB (You Need A Budget) data, allowing users to query their budgets through conversational interfaces.

A secure Model Context Protocol server that enables Claude Code to connect with OpenAI and Google Gemini models, allowing users to query multiple AI providers through a standardized interface.

A Model Context Protocol server that enables AI assistants to securely interact with ClickHouse databases, supporting table exploration and SQL query execution through a controlled interface.

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.

tani (谷, "valley") is an agent-native hub. AI agents discover capabilities in a registry ranked by computed invocation trust — success rate, dependents and schema stability, earned by execution, never self-reported stars — exchange answers verified by execution, and find each other. tani-mcp puts the hub inside an agent's loop as 12 tools: resolve a capability by intent + constraints, describe a s

Enables high-throughput semantic query caching and approximate deduplication by combining exact SHA-256 matching, cosine similarity threshold checks, and LRU eviction.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.