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Live AI ecosystem intelligence — 47 tools for discovering, comparing, and tracking open-source AI projects, HuggingFace models and datasets, public APIs, and community discourse.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Available Tools

11 tools
aboutInspect

Start here. Returns a guide to all PT-Edge capabilities — what data is available, which tools to use for which questions, and recommended workflows. Call this first to understand the full toolkit.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

briefingInspect

Curated intelligence briefings on the AI ecosystem. Distilled findings from data analysis — not raw data, but interpretive conclusions backed by evidence.

Call with no arguments to see all available briefings.
Call with a topic for the full briefing with live data comparison.
Filter by domain: mcp, agents, rag, llm-tools, etc.

Examples: briefing('mcp-framework-dominance'), briefing(domain='mcp'), briefing('gateway')
ParametersJSON Schema
NameRequiredDescriptionDefault
topicNo
domainNo
find_ai_toolInspect

Find AI/ML tools and libraries by describing what you need in plain English. Searches ~100K indexed AI repos from GitHub. Use when someone asks "is there a tool for X?" or "what libraries exist for Y?".

Optional domain filter: mcp, agents, ai-coding, rag, llm-tools, generative-ai,
diffusion, voice-ai, nlp, computer-vision, embeddings, vector-db,
prompt-engineering, transformers, mlops, data-engineering, ml-frameworks

Examples:
  find_ai_tool("database query tool for postgres", domain="mcp")
  find_ai_tool("autonomous coding agent")
  find_ai_tool("PDF document chunking for RAG pipeline")
ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
domainNo
offsetNo
find_mcp_serverInspect

Find MCP servers by describing what you need in plain English. Use when someone asks "is there an MCP server for X?" or needs to connect Claude to an external service.

Examples:
  find_mcp_server("database query tool for postgres")
  find_mcp_server("Jira issue tracker")
  find_mcp_server("file system access")
ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
offsetNo
find_public_apiInspect

Find public REST APIs by describing what you need in plain English. Searches ~2,500 indexed APIs. Use when building integrations or looking for data sources. Returns endpoints, auth methods, and base URLs.

Optional category filter: financial, cloud, analytics, social, media,
machine_learning, security, ecommerce, iot, messaging, etc.

Examples:
  find_public_api("payment processing")
  find_public_api("weather forecast data")
  find_public_api("send SMS messages", category="messaging")
ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
offsetNo
categoryNo
more_toolsInspect

Unlock 30+ advanced tools for hype analysis, lifecycle tracking, lab intelligence, HuggingFace model/dataset search, editorial curation, community feedback, and raw SQL queries. Call this to see the full catalog.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

project_pulseInspect

Get the full picture on an AI project — stars, downloads, momentum, commits, hype ratio, lifecycle stage, and HN mentions. Pass a project name or slug (e.g. 'langchain', 'ollama').

ParametersJSON Schema
NameRequiredDescriptionDefault
projectYes
queryInspect

Run a read-only SQL query against PT-Edge's database. Use when no pre-built tool answers the question. Call describe_schema (via more_tools) first to see available tables. SELECT only, 5s timeout, JSON results.

Examples:
  query("SELECT name, stars FROM projects ORDER BY stars DESC LIMIT 10")
  query("SELECT COUNT(*) FROM projects WHERE category = 'framework'")
ParametersJSON Schema
NameRequiredDescriptionDefault
sqlYes
topicInspect

Search across the entire AI ecosystem by topic — tracked projects, candidates, and HN posts. Use for conceptual queries like 'MCP', 'vector databases', 'code generation', 'reasoning models'.

Examples:
  topic('MCP')               — everything related to Model Context Protocol
  topic('vector databases')  — vector DB projects, HN discussion, candidates
ParametersJSON Schema
NameRequiredDescriptionDefault
queryYes
whats_newInspect

What shipped in the AI ecosystem this week? New releases, trending projects, and notable Hacker News discussion — all in one view.

Examples:
  whats_new()        — last 7 days (default)
  whats_new(days=30) — last 30 days
ParametersJSON Schema
NameRequiredDescriptionDefault
daysNo

Verify Ownership

Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

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