"Information on memory" matching MCP connectors:

The GVRN Incorporation MCP is a public Model Context Protocol (MCP) server that lets AI agents — on any LLM provider — collect and submit company incorporation requests to GVRN on a user's behalf. Every submission is reviewed by GVRN's corporate secretarial team, who follow up with the user by email. All fields are optional, so an agent can submit early with whatever the user has provided and let a specialist fill in the gaps.

Generate on-brand images from your AI agent: design, edit, and render templates over MCP.

User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

shared AI-context layer for teams — persistent memory your agents search and update over MCP

LinkedIn data for AI agents: structured profiles, people search, companies, and posts over MCP or REST. 500 free credits, no card.

Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

Generate HTML to PDF documents in bulk or single — raw replacements or based on conditions, loops

Generate, search, and manage codebase documentation on DocuWriter.ai. 72 tools incl. Autopilot.

AI memory layer — one shared, persistent memory across every AI tool you connect.

Your AI agent deploys, migrates & upgrades self-hosted Odoo ERP on a server you own.

An accounting engine your AI connects to over MCP. Hand it bank and card statements, invoices, bills and receipts; get reconciled double-entry books with every number traceable to the page it came from. Requires a host that can reach files on your machine — Claude Code, Codex, Cursor, Grok Build, or Claude Desktop + Cowork. Browser chat can install it but cannot send files. Open beta; first 1,000,000 tokens free.

Living docs and MCP context for GitHub repos — conventions, gaps, and source-cited pages on merge.

Give your AI app the keys to the house — smart home sensors, alerts, automations, and the switch itself. Point Claude, ChatGPT, Cursor or Codex at your own Chirp home and ask which sensors have gone quiet, why the leak detector went off at 2am, or how cold the garage got overnight — then add a sensor, build an automation, or switch something on. Hosted and OAuth-secured: you sign in with your usual Chirp account, there is no key to generate. Two devices are free. https://chirpwireless.io

PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.

Hosted ambient memory for AI agents. Retrieve context and save notes via MCP tools with OAuth.

Embed an AI chat widget on your website from your coding agent: provision, configure, get snippet.

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

Turn any idea, URL, doc, or PDF into on-brand visuals: 100+ formats, native in 150+ languages

Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.