"An overview of penetration testing (pentest)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engramic gives your team and your AI agents one record of what you decided and why, and flags new decisions that contradict it. It's built on three ideas: Memory, Context and Consistency.
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Explore Scripture through an interactive Bible knowledge graph. Search Bible verses, discover cross-references and thematic connections, compare passages, access study notes, and visualize relationships between Scripture passages. Powered by the Berean Standard Bible with clearly distinguished source references, reviewed connections, and interpretive notes.v
Liliphant joins your meetings and remembers the work across all of them. Most tools stop at one transcript. Liliphant connects every conversation, so you can ask what was decided, who promised what, what changed since the first meeting, or what's still blocked. Every answer comes with the exact quote, the speaker and the meeting it came from, and if something is unclear, Liliphant tells you. Open promises and unanswered questions stay in view until someone marks them done.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Marcora is the context layer for go-to-market teams. Build your source of truth once: a Brand Foundation (positioning, brand voice, and writing style) plus a Reference Library of product docs, buyer personas, competitive analysis, and messaging. Claude, ChatGPT, and any AI tool that supports MCP connections read from it, so what you write stays on-brand and accurate.
Second brain for investing. Investboard brings your portfolio, personal strategy and investment decisions together. Understand what you own, set out how you want to invest, and keep the reasons behind your choices. Bring that context into your AI assistant so each review can build on what you have already recorded. What Investboard can do: Investment Strategy Check: Assess proposed changes against your goals, allocation rules and constraints. Investment Decision-Making: Work through alternatives, trade-offs and uncertainty, and reflect on previous decisions. Investment Thesis: Develop and review your investment case, challenge its assumptions and define what would change your mind. Portfolio Intelligence: Explore your holdings, look through equity funds, identify overlap and concentration, and understand diversification and historical correlations. Connect your Investboard account to read your mandate, holdings, available analytics, saved checks, theses and journal entries. Try prompts like: - Help me understand my portfolio's underlying holdings, overlap and diversification. - Check a change I am considering against my investment strategy. - Help me develop an investment thesis and work through the decision. - Explain what my portfolio's historical correlations can and cannot tell me. - Review my recent investment decisions and the journal reviews that are due. - I decided to defer the change we checked. Record that decision. Connected features require an Investboard account, permissions and enabled sharing. Premium unlocks portfolio analytics, check history, thesis and journal reads. Requested hypothetical checks and stated outcomes are saved. The four companion skills also work with supplied files. Install them separately from [AI Toolkit](https://investboard.com/product/ai-toolkit). Update your strategy, save a thesis or complete a journal review in Investboard. You make every investment decision. Investboard does not place orders.
Astrology for AI assistants: natal chart (planets, houses, angles, aspects), today's transits to a chart, the sky of a day, the Vedic chart with Vimshottari dasha, and links to AstralRead's knowledge base. Read-only, no account; birth data is not stored. English and Russian.
A public roll of agents who passed by: sign it, and keep one record per key across the stations.
Claimora expands AI agents' research horizons through an interconnected graph of scientific claims, evidence, contradictions, and cross-disciplinary relationships. Discover unexpected research paths, investigate original sources, and return with refined questions to explore further—potentially reducing research time and cost.
A living map of all your work that keeps you, your team, and your agents on the same page
Shared, tested playbooks (recipes) for AI agents. Your agent searches recipes for real tasks (inbox triage, lead research, freelance gig hunting, content workflows), runs them, and reports results; weaker versions roll back only after failures from several independent sources plus an automated spam check. Free, no install, no email needed: one remote MCP URL.
Lets your assistant search and read your ThinkerNotes: the insights you've written in your own words, your drafts, and your notes on books and podcasts. Ask "what have I already figured out about pricing?" and get back your own conclusions instead of a generic answer. Read-only, OAuth with dynamic client registration, works on the free plan.
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
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
Arroway keeps people and their AIs on the same page. It orchestrates people and AI agents around the decisions in force: every connected AI reads what the team decided before it acts, records what it did, and hands unfinished work to the next person or agent. What an AI proposes waits for a person's approval.
Ask a room of Claude, GPT and Gemini from your AI tool, search its memory and log decisions.
Your Recipes, Beautifully Kept. weReci MCP server lets Claude and other MCP clients work with your personal weReci cookbook, the recipes you've imported from the web, social video and scanned family books. Interactive UI in the chat. weReci supports MCP Apps, so in clients that support it, tools return live views instead of plain text: recipe cards, shopping lists and your recipe graph. Clients without MCP Apps support get the same results as text. Find and read recipes: search your collection in plain language, open any recipe in full, or get an overview of what's in your cookbook. Cook with them: scale a recipe to any serving count, with cooking adjustments as well as amounts. Get substitution suggestions with ratios and caveats. Explore connections: browse your recipe graph (shared ingredients, techniques and cuisines), trace the connection between two recipes, and look up where a dish sits on the cuisine map. Themed collections: list the themed groups weReci curates from your cookbook, or ask it to reshuffle them. Shop: build a shopping list from one or more recipes, add or update items, and read the list back. Share: email a recipe to someone. Longer jobs like conceit reshuffles run in the background, with tools to check their progress. Everything is scoped to your own cookbook, or to a shared one you've joined.
Signed, versioned ledger of standing instructions with intake contradiction diffs.
Intelligence for your AI agents: what they need to know, at the moment they decide. NEXUS connects Claude Code, Claude, ChatGPT, Cursor and OpenClaw to one shared record of your decisions, rules and past incidents, so an agent doesn't repeat a costly mistake or undo what was already decided. What one agent learns, the others already know. Every item is graded (measured, reported or inferred), outdated facts are marked as superseded, and contradictions are flagged. Before an important action, agents can call antes_de_actuar to get the rules that apply. Remote server with OAuth. Free plan, no credit card: https://nexus.eblas.link
Read and grow a person's falsifiable, consent-based model of how they work with AI (CMP).
Give AI assistants secure access to your organization's structured business data. Search records, create and update records, retrieve schema information, and manage workflow states using natural language. You need two values for every request: x-api-key — your Web Data Forms API Key x-group-id — your Web Data Forms Group ID You can find these in your Web Data Forms accounts group->information page. Preferred method: request header When possible, pass the credentials as HTTP headers: x-api-key: <your-api-key> x-group-id: <your-group-id> This is the preferred option because it keeps credentials out of the URL and is more secure. Fallback method: query parameters If your MCP client does not support custom headers, the server also accepts the credentials as URL query parameters. Example: https://mcp.webdataforms.com?x-api-key=abc123&x-group-id=xyz456 Detailed information here: https://github.com/Web-Data-Forms/mcp-server-docs/blob/main/README.md
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.
Eight tools an agent uses; ten more for operating your tenant. Patent pending.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
Donelane is an async standup tool: your team gets a morning digest email and replies with what they got done. This MCP server puts your agents in that same loop. Connect any MCP client and the agent can record a "done" the moment it finishes a task, e.g. "Migrated the billing tables and backfilled 1 200 rows", straight into the shared team feed. It can also read the feed, so an agent starting a session knows what the team shipped yesterday and what's already in progress.
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.
