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PT-Edge AI Intelligence
MCPOfficialOpen SourceMIT31.2
by grahamrowe82 • Uncategorized
An MCP server providing live, structured AI ecosystem knowledge with discovery, comparison, and trend analysis tools.
Example Use Cases
- 1
Discover and analyze AI projects, models, datasets, and APIs in real-time.
- 2
Perform trend analysis and comparison across the AI ecosystem using semantic search and derived metrics.
- 3
Access community feedback, lab events, and curated AI intelligence resources.
Description
PT-Edge indexes extensive AI ecosystem data including open-source projects, HuggingFace models and datasets, public APIs, and community discourse. It offers 47 MCP tools, resources, and prompts to enable natural language querying, discovery, and analysis of AI projects and trends. The server enriches data with LLM-powered summaries and semantic embeddings, supporting informed decision-making and research.
Capabilities(18 total)
Tools (11)
about
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.
more_tools
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.
query
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'")
sql:string*
whats_new
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
days:integer
project_pulse
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').
project:string*
Prompts (4)
evaluate-technology
Which technology should I use? Systematic evaluation workflow.
topic
build-something
I need to build X. Discovers frameworks, APIs, models, datasets, and MCP servers.
task
due-diligence
Should we adopt project X? Comprehensive health and adoption check.
project
weekly-briefing
What happened in AI this week? Releases, trends, and discourse.
Resources (3)
methodology
How PT-Edge metrics work: tier system, hype ratio, lifecycle stages, and data sources
URI: resource://pt-edge/methodology
categories
Valid project categories used by PT-Edge for classification
URI: resource://pt-edge/categories
coverage
Current data coverage: project count, index sizes, data freshness
URI: resource://pt-edge/coverage
Quick Actions
Security
Scanned 2 month(s) agoRisk Level
MINIMAL
Read-only data retrieval, no side effects
Trust Score
C63/100
10/17 checks passed
Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.
Quick Stats
Service TypeMCP
Pricing ModelPremium
Capabilities11 Tools / 4 Prompts / 3 Resources
Ownergrahamrowe82
CategoryUncategorized
DependenciesStandalone
Tags
aideveloper-toolsmcpmcp-serveropen-source