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524,660 tools. Updated 2026-09-06 17:02

"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP tools:

  • Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.
    MIT
  • Retrieve detailed metadata for any AI model, including family, parameter size, quantization, and context length. Optionally specify a provider to filter results.
    Creative Commons Attribution Non Commercial No Derivatives 4.0 International
  • Run automated synthetic checks on any remote MCP server to verify reachability, protocol compliance, JSON Schema validity, and exposed credentials, returning a detailed diagnostic report.
    Apache 2.0

Matching MCP Servers

  • A
    license
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    quality
    B
    maintenance
    Context Forge is a vendor-neutral continuity layer for AI tools. It stores project context in Markdown and JSON, retrieves task-scoped context, and leaves structured handoffs so another model can continue without being taught the project again.
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    Apache 2.0

Matching MCP Connectors

  • MCP server for accessing curated awesome list documentation

  • Personal finance, bank account, and shared memory connector for Claude, ChatGPT, Gemini Spark & more

  • Checks an MCP server's provenance, permissions, tool safety, and risk signals before connection, so you can avoid unsafe third-party servers.
    MIT
  • Access Kronos model context for BTC, ETH, SOL, XRP, ADA to support trade decisions using calibrated range, risk state, and audit record. Cost: $0.05 USDC.
    MIT
  • Ask programming questions and get explanations from Kimi's model without codebase context. Use for algorithms, code reviews, or general coding advice.
    MIT
  • Find documentation in available docsets using regex patterns. Returns file path, line number, and context lines so you can navigate directly to the information you need.
    MIT
  • Detect your project's tech stack and regenerate AI context files from configuration. Use after framework changes or when context files become outdated to maintain accurate AI assistance.
    MIT
  • Retrieve detailed specifications for any AI model by its ID, including pricing, context window, capabilities, and request limits to inform model selection decisions.
    MIT
  • Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.
    MIT
  • Retrieve all entity types and their attribute counts from the Context Broker to understand the data model before managing entities.
    MIT
  • Compare AI model pricing across Anthropic, OpenAI, Google, Meta, Mistral, and Cohere. Get input and output prices per 1M tokens, context window, and release date in one table to select the cheapest model for your budget and context.
    MIT
  • Retrieve full details for any OpenRouter model, including pricing, context limits, and description. Use this to evaluate model suitability or check specific model information.
    MIT