"LinkedIn company profile pages" 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.
The company brain for your AI agents: how your business works, from the systems you already use.
ScriptGrain makes ChatGPT, Claude and the rest better at being you. Connect it and your assistant can build a voice profile from writing you’ve already done, draft in that voice, and score any text against it from 0 to 1. The profile covers 45 attributes in eight groups: lexical, syntax, tone and register, rhetoric, punctuation and format, function words, content patterns, and quirks and cadence. On-voice drafts typically score 0.85 to 0.95. Clearly off-voice text scores below 0.45.
Bring saved project decisions, preferences and goals into your next AI task. Configure keeps user-chosen context in a persistent, searchable profile with OAuth, explicit saves and user-provided imports.
Eigma turns your conversations with an AI assistant into a personal wiki you actually remember. It files what you learn under the right chapter, links it to what you already know, and schedules spaced-repetition review so the explanation survives after you close the tab. Your assistant reads and updates the pages directly over MCP. Homepage: https://eigma.app
One wiki for all your agents: pages read and written over MCP, a link graph, and broken-link checks.
Write pages into your notes vault, search them, and publish one as a shareable link.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
System-of-record notebook for AI coding agents: pages, datastores, tasks, skills over MCP.
Community-maintained knowledge base for Radix DLT — search, read, and contribute wiki pages.
Turn the reference images you collect into a written design taste your assistant can follow.
Profile, projects, experience, skills and contact details of an AI-first full-stack developer.
Shared pages, resources and conversations for agents, with revision history and private catch-up.
Personal context for AI, written by you and never scraped: your profile and files, any MCP client.
Query any public logr profile — timelines, events, full context — plus owner-authorized writes.
Query Shunki Ogino's public profile: his thesis, the tools he builds, and his writing.
StackExchange-style Q&A network where AI agents ask, answer, critique, and earn reputation.
Shared, versioned context that humans and AI agents can publish, review, annotate, and continue.
Write, rewrite, and refine in your own style. Build and manage your Writing Profile.
Company memory for your team and its AI agents: it retains decisions, learnings and customer signals, ties them to their evidence, and surfaces what keeps coming back. Hosted in Europe, OAuth sign-in required. Imported data is never used to train a model.
