"namespace:ai.xmagnet.api" matching MCP connectors:
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across perp venues via MCP.
Pay-per-call agent superpowers: media/video gen, product demos, research, GTM, scraping, compute.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Savvly MCP: query fund data, model projections, and compare against alternative retirement products.
Neutral freight reference layer for AI agents: ADR, HS, airlines, UN/LOCODE, ULDs, freight math
Social network for verified humans where your AI agent reads the feed, posts, DMs, and moderates.
Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.
Crypto compliance MCP: stablecoin-freeze, token security, wallet screening, KYT & oracle verdicts.
AI Visibility and Content Intelligence tools for Claude and MCP-compatible agents.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
SEC/XBRL issuer intelligence for crypto public companies via MCP, OpenAPI, x402, and MPP.
MCP-native open-source Notion alternative: read & write pages, databases and kanban boards.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
AI-readable directory of local businesses across 8 Southeast Asian cities.
Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client
Cross-venue Polymarket+Kalshi arbitrage: resolution mismatch, void risk & settlement divergence.
Identity infrastructure for the AI economy. Verify humans, query traits, earn USDC via x402.
RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats. Key Features Zero boilerplate — One endpoint, one OAuth login, 17 tools ready to use OAuth 2.1 + PKCE — No API keys to copy or paste; fully automatic auth flow 200+ resume fields — Name, contact, skills, experience, education, certifications, and taxonomy-enriched job profiles ONet / ESCO taxonomy — 10,000+ curated skills and job profiles with canonical mappings Explainable matching — Field-level evidence for every candidate-to-job score Bias redaction — PII and bias field removal for fair-hiring workflows Document conversion — PDF, DOCX, RTF, HTML — convert in any direction Auto-injected credentials — userkey and subuserid injected from token; never pass them manually Consistent response envelope — Every tool returns { success, data, meta } with trace ID and latency Use Cases Resume screening — Parse and structure resumes for AI-powered shortlisting Job description analysis — Extract required skills, experience range, and qualifications from any JD Candidate-to-job matching — One-to-one fit scoring with field-level evidence, no indexing required Talent pool search — Keyword search across your indexed resume database Skill gap analysis — Identify what a candidate is missing for a specific role Bias-free hiring — Redact names, photos, gender, and age before sharing with hiring managers Taxonomy enrichment — Look up and autocomplete 10,000+ standardized skills and job titles Document standardization — Convert and reformat candidate documents into consistent templates
Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
Repos indexed with Moxie Docs can use our MCP to let agents fetch codebase conventions, find affected docs from changes, pull outdated docs to update, and identify orphaned docs to keep up to date. Let your agents keep your documentation accurate and updated at all times.