Explains how Pathrule CLI and Desktop save tokens by automatically injecting context via hooks before AI tool calls, avoiding manual remote MCP overhead.
MIT
180,599 tools. Last updated 2026-06-07 19:04
"IBM MCP Context Forge - Model Context Protocol Gateway Tool" matching MCP tools:
- Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.MIT
- Retrieve initial context and usage instructions before using any other tools on this server.MIT
- Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.MIT
- List available Forge embedding models with dimensions to select one before embedding.MIT
- Get accurate, version-aware explanations of key Electron concepts. Covers process model, context isolation, sandbox, IPC, ASAR, fuses, code signing, and build tool comparisons.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
- Alicense-qualityCmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated294MIT
Matching MCP Connectors
Stop re-explaining yourself to Agents. Give it the right context, right when needed.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
- Retrieve detailed specifications for any AI model by its ID, including pricing, context window, capabilities, and request limits to inform model selection decisions.MIT
- Calculate token count for Gemini AI prompts to estimate costs and ensure they fit within model context limits.Apache 2.0
- Retrieve the verified Gemini Models documentation for details on model variants, capabilities, versioning, and context window sizes.MIT
- Clear authenticated client context from the Signal Found MCP server session to end user access and maintain security.MIT
- Retrieve details about your router's WAN connection including protocol, IP address, gateway, DNS servers, and interface information.MIT
- Retrieve relevant documentation chunks as RAG context with citations to answer questions about Open Finance Brasil.MIT
- Capture and store user context, business processes, and Salesforce data model insights to provide personalized, context-aware assistance across sessions.MIT
- Retrieve the authenticated client context for the current Signal Found MCP server session to access user-specific data and permissions.MIT
- Returns context consumption statistics including total bytes, tool breakdown, call counts, token usage, and context savings ratio for the current session.Elastic 2.0
- Validate permissions and execute a tool on a downstream MCP server via the gateway, receiving the server's response directly.MIT
- Retrieve tool-specific rules, syntax, and preferences for any tool. Automatically injects context across chat sessions, eliminating need to re-establish in each new conversation.Apache 2.0
- Look up pricing, context window, and capabilities for any LLM model. Fuzzy matching identifies models even without exact names.MIT
- Retrieve structured documentation for World Labs MCP tools, Marble API models, workflows, and context. Choose detail level and filter by topic.MIT
- Retrieve the gateway wallet address, today's USDC spend total, and per-call and per-day spend limits for payment context.Apache 2.0