"namespace:me.in-context" matching MCP connectors:
Matching Connector Tools:
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
XMemo is a secure, user-owned memory substrate and context engine for AI agents, CLIs, IDEs, and LLM workspaces. Exposed over Streamable HTTP MCP, it empowers agents with cross-session memory, task continuity, and personalized context. Key Features: - Personalized Context: Stores and recalls developer preferences, project guidelines, and coding patterns via semantic vector search. - Agent Daily Memory: Tracks active tasks, episodic event timelines, reminders, pending decisions, and session restart snapshots. - Self-Improving Reflection: A background worker that automatically summarizes episodic details, promotes facts, and manages memory decay. - Privacy & Governance: Complete control over user data with owner-scoped access, explicit token scopes, audit trails, and secure redaction (forget) flows. - Built for Developers: Works natively with IDE assistants (Cursor, Claude Desktop, VS Code), CLI scripts, and autonomous agent frameworks.
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Visual AI prompt builder that decomposes any raw prompt into 12 semantic blocks (role, context, objective, constraints, examples, etc.) and recompiles them into Claude-optimized XML. Exposes decompose_prompt and compile_prompt tools.
Search the public Xavio catalog and create firm checkout quotes.
MCP server for accessing curated awesome list documentation
CoreClaw MCP Server enables AI applications to interact with the CoreClaw platform through the Model Context Protocol (MCP). Once connected, your AI agent can search for scrapers in CoreClaw Store, run them with custom parameters, and retrieve structured data — all through natural language conversations.
Turn a TikTok/Instagram/YouTube link into text for your AI: metadata, transcript and image OCR.
Fast, intelligent web search and web crawling. New mcp tool: Exa-code is a context tool for coding
Read-only MCP server for searching and browsing essays on payments, fintech, and protocol thinking by Ben Milne. 3 tools: list_posts, get_post, search_posts. Streamable HTTP transport, no auth required.
Persistent project context for Claude. IANA-registered .faf format.
Persistent project context for xAI Grok. IANA-registered .faf format.
Render HTML, Markdown, or any URL to images or PDF, plus reader-mode extraction. MCP-native.
Skincare Question and Answer with cited products, ingredients, sources, and comparison context.
Personalized timing intelligence for AI agents — ask 'should I do X on this date?'
clariBI is an AI-powered business intelligence platform built for small and mid-sized SaaS, ecommerce, and operations teams. Instead of writing SQL or building dashboards manually, users ask questions in plain English ("what's our CAC by channel last quarter?") and the AI engine pulls the data from Stripe, HubSpot, Google Analytics, ad platforms, Jira, and 30+ other sources via the open Model Context Protocol. Dashboards generate themselves on source connect.