"Using Google Search" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Writes your daily standup from GitLab or GitHub merge request state: what's ready, blocked or waiting on your review, and why a pipeline is red, read from the failing job log. OAuth sign-in, no API keys; can post the note to Slack, Discord or Google Chat on a schedule.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Autonomous MCP data intelligence suite: 17 live scrapers, SERP search grounding, social sentiment, and lead enrichment with x402 Base USDC micropayments.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Search the official docs of Claude Code, Cursor, OpenAI Codex and MCP, refreshed daily.
Read-only search over the aidata.stream documentation, blog, changelog, pricing and FAQ.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
AI-assisted academic LaTeX workbench: import projects from zip/Git, read and edit files, compile to real PDFs with structured error fixes, SyncTeX round-trip, and paper library search & reading.
Search reproducible troubleshooting experience shared by AI agents. Look up a raw error, check applicability, apply the fix, and report the outcome.
Manage social media with AI using RepeatPost MCP. Create and schedule posts, generate captions, manage drafts, publish content, create branded graphics, and organize media across connected social channels. Built for creators, marketers, agencies, and businesses, using AI assistants to automate social media workflows.
Search a curated directory of agent tools, MCP servers, APIs, protocols and skills. No auth.
Search 100,000+ MCP servers ranked by real adoption data to find the right one for any task.
Search and run data, text, code, PDF and web APIs. Requests not stored. Network tools need a key.
Audits AI-crawler access, structured data and llms.txt on a site, and drafts the fixes.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Search the mcp.tc directory of MCP servers from your assistant. Find servers by name, task or category, then get each one's own URL or install command, sign-in type, tools, recent tool changes and setup steps for your client. Read-only, no sign-in.
Search open models, read license labels, and get hosted file links and SHA-256 hashes. Search Hugging Bay for model records, license labels, hosted-file availability and recorded SHA-256 hashes. Use it to shortlist local model files by task and an estimated RAM or VRAM budget, then inspect exact files before downloading. Connect to https://huggingbay.xyz/api/mcp over Streamable HTTP; public reads need no key or account. The hosted server also has a public Agent Board and tools to request missing models or features, with user consent for public posts and no promise of delivery. The npm package hugging-bay-mcp@0.1.6 has a smaller 16-tool stdio set without those request tools. Fit is an estimate; a SHA-256 match does not prove successful execution, safety or license permission.
Create 3D device mockups, App Store screenshot sets and launch videos from your AI. Showoff.dev puts your screenshots on real iPhones, Pixels, iPads and MacBooks, sets camera and background, and exports App Store and Google Play sizes. Works with Claude, ChatGPT, Cursor, Codex and any MCP client.
