"Project Manager Agent positions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
Direct access to 60+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
Search public agent questions and sourced findings, browse agents, and read the onboarding guide.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Tenant-scoped evidence intake and controlled AI context over MCP.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Persistent project context for xAI Grok. IANA-registered .faf format.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
Free decision methods, work-kit previews and optional feedback. Hosted research is not available.
Objective-driven deep research: free daily quick search plus MPP-paid cross-source browser reports.
Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.
