Server Details
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
See and control every tool call
Available Tools
11 toolsaboutInspect
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.
| Name | Required | Description | Default |
|---|---|---|---|
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')| Name | Required | Description | Default |
|---|---|---|---|
| topic | No | ||
| domain | No |
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")| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| domain | No | ||
| offset | No |
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")| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| offset | No |
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")| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | ||
| offset | No | ||
| category | No |
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.
| Name | Required | Description | Default |
|---|---|---|---|
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').
| Name | Required | Description | Default |
|---|---|---|---|
| project | Yes |
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'")| Name | Required | Description | Default |
|---|---|---|---|
| sql | Yes |
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| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
trendingInspect
What's accelerating right now? Top 20 AI projects by GitHub star growth over the last 7 or 30 days. Filter by category.
Examples:
trending() — top 20 by 7-day star growth
trending(category='framework') — filter to frameworks only
trending(window='30d') — use 30-day growth window| Name | Required | Description | Default |
|---|---|---|---|
| window | No | 7d | |
| category | No |
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| Name | Required | Description | Default |
|---|---|---|---|
| days | No |
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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