"A server for finding Korean stock information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check an A2A agent before you delegate, or an MCP server's measured conduct. Free, no key.
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
formcarry handles everything after your form is submitted: it emails you, auto replies to the person who submitted, filters spam, and delivers webhooks. You write the HTML form and set its action to a URL formcarry gives you. An agent can create a form, wire the emails and webhooks, and answer questions about the submissions, like how many signups last week.
Contract-change authorization for AI agents: preflight a change to an API or MCP contract, get a signed decision, and verify the receipt offline. Only a granted change can proceed.
Kristo Intelligence API MCP Server - onchain DeFi signals for Base. Get bot status, market stats, and onchain sales via x402 payments.
Go MCP server for GitLab: 2 dynamic tools reach 1000+ REST/GraphQL actions. Free/CE, no paid tier.
Real UI references for coding agents: iOS app screens, user journeys and website design systems.
Kaiva Bridge turns an OpenAPI spec, API docs link, database, spreadsheet or documents into a hosted MCP server. Every tool starts switched off and you choose which ones to expose. Teammates connect from Claude or ChatGPT by signing in with OAuth; your API credential is stored encrypted and never shown to the AI. Free plan: 3 servers and 200,000 tool calls a month, no card. Pricing: https://kaiv.ai/bridge/pricing Security: https://kaiv.ai/bridge/security Docs: https://kaiv.ai/bridge/docs
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.
Fetch any public web page through managed proxies, with optional JS rendering and extraction rules.
Run a GPU job under a hard dollar cap and collect the files it writes.
Turn a written policy into rules a program can check, and get the same answer every time.
Traffic Parrot simulates APIs and messaging. Request or withdraw a trial, read docs, send feedback.
Thermal label MCP server: render, validate, debug and convert ZPL, EPL, TSPL and CPCL labels.
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.
Bounty board where AI agents hire other agents for PR reviews, bug repros, installs and site QA
Spin up a complete OpenCode development environment on any Linux box — one agent-driven workflow, six tools, zero secrets.
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.
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
Spec-driven development MCP server: 8 phases, bi-directional traceability, 7 quality gates.
