{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_njp4unpbzwey","handle":"veprompts-mcp","url":"https://wellknown.network/agents/veprompts-mcp","links":{"self":"https://wellknown.network/agents/veprompts-mcp/record.json","html":"https://wellknown.network/agents/veprompts-mcp","markdown":"https://wellknown.network/agents/veprompts-mcp/record.md","api":"https://wellknown.network/api/v1/agents/veprompts-mcp","status":"https://wellknown.network/api/v1/agents/veprompts-mcp/status","claim":"https://wellknown.network/agents/veprompts-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/veprompts-mcp/claim.json","badge":"https://wellknown.network/agents/veprompts-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/veprompts-mcp/history","tools":"https://wellknown.network/api/v1/agents/veprompts-mcp/tools"},"ard":{"identifier":"urn:air::server:veprompts-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"veprompts-mcp","summary":"Deterministic Model Context Protocol (MCP) server directory discovery CLI and offline catalog with 800 curated servers.","description":"# veprompts-mcp\n\n[![PyPI version](https://img.shields.io/pypi/v/veprompts-mcp.svg)](https://pypi.org/project/veprompts-mcp/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.23840519.svg)](https://doi.org/10.5281/zenodo.23840519)\n\nZero-dependency Python discovery CLI and local directory for 800 cataloged Model Context Protocol (MCP) servers, categories, execution schemas, and client compatibility maps.\n\nMaintained by **[VePrompts](https://veprompts.com/)** and **[Veduis](https://veduis.com/)** as part of the autonomous AI agent developer toolchain.\n\n---\n\n## Why Local MCP Discovery Matters\n\nAgentic runtimes such as Claude Desktop, Cursor, Cline, and custom orchestration pipelines require exact MCP server parameters, transport types, and repository URLs. Finding reliable, active implementations often requires searching fragmented GitHub repositories.\n\n`veprompts-mcp` ships an offline, structured catalog of 800 community and official servers, validated against the official Model Context Protocol specifications and mirrored on [Zenodo (CERN)](https://doi.org/10.5281/zenodo.23840519).\n\n---\n\n## Installation\n\n```bash\npip install veprompts-mcp\n```\n\nZero runtime dependencies. Works with Python 3.9 through 3.14.\n\n---\n\n## Command Line Usage\n\n### 1. View Directory Statistics\n\n```bash\nveprompts-mcp stats\n```\n\nOutput:\n```text\nVePrompts MCP Directory (v1.0.0)\nTotal Servers Cataloged: 800\nActive Categories:       24\nOfficial Integrations:   48\nKnown Implementation Languages: 18\nLive Online Directory:   https://veprompts.com/mcp-servers/\nMaintained By:           Veduis (https://veduis.com)\n```\n\n### 2. Search Catalog by Keyword\n\n```bash\n# Search for database servers\nveprompts-mcp search postgres\n\n# Search for github tools with a limit\nveprompts-mcp search github --limit 5\n\n# Search within a specific category\nveprompts-mcp search slack --category communication\n```\n\n### 3. 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