[free] Describe this connector: flagship-first tools layer (search/answer as the front door), how to install (Claude Code / Cursor / npm), free vs paid tiers, and discovery URLs. Call this first.
ConnectorNo auth
649,985 tools. Updated 2026-10-12 19:07
"Tools to Enhance Code Quality and Organization with Claude in Cursor" matching MCP tools:
- A one-time link to upload a local file into the media library, for a client that can run a command (Claude Code, Codex, Cursor): PUT the file to uploadUrl with the returned Content-Type (the result includes the curl command), then call import_media with url set to the returned mediaUrl. The link expires in 15 minutes and signs one content type. If you cannot run a command, do not call this: ask the person to drop the file into their Treza library in the web app and find it with list_assets. Needs the pipelines:write scope. Spends no credits.ConnectorAPI key
- List the workspaces this sign-in can act in, across every organization the user belongs to. Returns { workspaces } with one entry per workspace: id, name, organization { id, name }, role { key, name }, permissions, isDefault and current. Call this when the user names a workspace, client or organization, or when data they expect is missing, then pass the matching id as workspaceId to every other tool. Without workspaceId, tools act in the workspace marked current. An API key belongs to one workspace, so it lists only that one. Takes no arguments.ConnectorOAuth
- List the runtimes generate_runtime_config supports (Claude Desktop, Cursor, VS Code, agent frameworks, …), with each one's config path. Enumerate these instead of guessing runtime slugs.ConnectorNo auth
- List every project in an organization, with each project's ID, name, and slug. Use this to resolve a project ID before calling project-scoped tools. Needs an admin API key: organization admin scope is never delegated to a connected app, so this tool fails on an OAuth connection.ConnectorNo auth
- Fetch AgentPay skills index (skills.json) and install hints for Cursor, Claude Code, ChatGPT. Call at session start when the user shops in Russia, after verify_connection, or when they ask «как подключить skill», «скачай skill», «используй skill AgentPay». Returns skillUrl links — Cursor/Claude agents MUST fetch and follow the public shopping-ru SKILL.md (or store-specific skill from preferredStoreSkills). After browser Разрешить, fetch personal skill-bundle via GET /agent-link/{sessionId}/skill-bundle. Never improvise catalog rules when a skill URL is returned. If AGENTPAY_API_KEY required and you already have sessionId from this chat: pass sessionId and retry. Never begin_agent_link again. Never ask the owner to edit connector settings or reconnect. Never web-search.ConnectorNo auth
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server providing code review, auto-fix, test running, linting, formatting, and refactor suggestions for Claude Code.MIT
- AlicenseAqualityBmaintenanceMCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.7MIT
Matching MCP Connectors
- EnhanceOAuth
Shared canvas for AI-assisted product design, visual feedback and interactive prototypes. Browser sign-in (OAuth) required. Website: https://enhancelabs.ai. Docs: https://app.enhancelabs.ai/docs.
Validate ClaudeBot and Claude-SearchBot IP addresses. Remote MCP validate_ip tool.
- Read organization-wide record totals, success rate, tokens and cost summary. No LLM call. This tool has no job filter; use list_records(job_id=...) for a particular run and benchmark tools for comparative quality/cost/speed scores.ConnectorOAuth
- Probe a remote MCP server URL once, credential-free and without calling its tools, and get its quality checks and its readiness for the Claude and OpenAI directories. Pass `url` to start a check (waits up to 25 s for the result), or `id` to read one. Quota: a few checks per hour anonymously, more with an API key.ConnectorNo auth
- Send feedback to the people who build this product (not the user's organization, crew, or clients). It carries bug reports, feature suggestions, support questions, and praise, plus problems with these tools that the user agreed to report, and contains only what the user asked or agreed to send. It creates a Linear issue for the product team (email fallback if Linear is unavailable); it does not message anyone in the user's organization (the messaging tools do that). No sign-in needed. Add the user's email only if they want a reply.ConnectorNo auth
- Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.ConnectorNo auth
- Install a skill into the agent you are running in. Returns the complete skill file and the exact path to write it to — YOU must then create that file verbatim (Claude Code: ~/.claude/skills/<name>/SKILL.md, so it becomes available as /<name> in every project; other agents: ./skills/<name>.md) and tell the user where it is. Counts the install. Use target=hermes for Hermes Agent, target=generic for any other agent, scope=project to keep a skill inside the current Claude Code project only (.claude/skills, committable for the team). When emdly agent hosting is enabled and you have a hosted agent, pass agent= to install there instead.ConnectorNo auth
- Return the MCP URL and copy-paste setup for Claude, ChatGPT, Cursor, and Claude Code.ConnectorNo auth
- Returns a consolidated, copy-paste-ready Markdown system prompt of SMI Aware house rules and a when-to-call-which-tool routing guide, plus exact paste-in locations for Claude Projects/Cowork/Desktop, Cursor, and other clients, so the assistant calls the right smi_* tools automatically. Runs locally; makes no network calls and takes no case data.ConnectorOAuth
- Step-by-step instructions for connecting an AI client to Pipeworx — Claude Code, claude.ai, Cursor, Windsurf, Gemini CLI, Perplexity, ChatGPT, or any MCP-capable client. Returns the gateway URL, plugin links, and first-question suggestions. Example: pipeworx_getting_started({ client: "cursor" })ConnectorNo auth
- Write or update a Claude Code project memory file (.md). Persists project context, user preferences, feedback, and reference notes across Claude Code sessions. Filename must end in .md with lowercase alphanumeric characters. Path traversal is blocked. Requires authentication.Use this to persist project context, user preferences, feedback, and reference notes across Claude Code sessions. The filename must end in .md and contain only lowercase letters, digits, underscores, and hyphens (e.g. 'user_fabio.md', 'project_new_feature.md'). Path traversal is blocked.ConnectorNo auth
- Adds Local MCP to the config of the MCP-capable AI apps installed on this Mac, from LMCP's client catalog (Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Zed, Codex / ChatGPT desktop, Jan, LM Studio, Warp, Antigravity, Cline, Roo and more) — no manual JSON editing. Read-only PREVIEW unless confirm:true. Optionally pass a single `client` id. Reports per client whether it was set up, was already set up, can't be set up automatically (and why), or isn't installed, plus the step the user must take for the change to apply (restart the app, or open a new session). Pair with list_missing_permissions for fully agent-driven setup.ConnectorOAuth
- Lists leads in the platform CRM — a prospective ORGANIZATION in our own funnel — platform CRM is not tenant data. Cursor-paginated: limit 1-100, opaque cursor from the previous page. Filters: q, stage. Needs a human session with the platform_admin grant; tenant ownership does not qualify. Every item carries an absolute url.ConnectorNo auth
- Count what people complain about and praise for a product. Use it for "what do people complain about with Cursor?", "is Claude Code well liked?", "what do users say about Copilot?". Pass product, a name such as "Claude Code". Reads recent Hacker News comments, GitHub issues and App Store reviews that the sources allow. Returns the most common complaint and praise themes with mention counts per source and linked example quotes, the open GitHub issues with the most reactions, the App Store rating, and a status for each source read. The counts come from a sample of public posts from the last 90 days. Results are reused for six hours.ConnectorNo auth
- Install a skill into the agent you are running in. Returns the complete skill file and the exact path to write it to — YOU must then create that file verbatim (Claude Code: ~/.claude/skills/<name>/SKILL.md, so it becomes available as /<name> in every project; other agents: ./skills/<name>.md) and tell the user where it is. Counts the install. Use target=hermes for Hermes Agent, target=generic for any other agent, scope=project to keep a skill inside the current Claude Code project only (.claude/skills, committable for the team). When ecomdly agent hosting is enabled and you have a hosted agent, pass agent= to install there instead.ConnectorNo auth
- Search the AI Developer Toolkit documentation: 1100+ guides on Cursor, Claude Code and OpenAI Codex, covering setup, agent workflows, hooks, MCP, testing, CI and deployment, in English and Polish. Returns at most 10 ranked results, each with a short snippet rather than the article text; an empty list means the corpus has nothing on the topic. Pass a result id to `fetch` for the full text.ConnectorNo auth
- Restore and enhance faces in an image with the Brainiall face-restoration engine. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. Optionally enhances the background with the Brainiall image-upscaling engine. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP). upscale: Output upscale factor -- 1 to 4 (default: 2). enhance_background: Whether to enhance background with the Brainiall image-upscaling engine (default: true). Returns: dict with keys: - image (str): Base64-encoded restored image - format (str): Output image format - width (int): Output width - height (int): Output height - upscale (int): Scale factor applied - processing_time_ms (float): Processing time in millisecondsConnectorNo auth