Find the right MCPs, tools and skills for any AI task - discovery over a 14k+ resource catalog.
| Endpoint | https://mcp.abcommunity.org/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 13 tools · grade A (93) · pin ts_4ebad80823814a9c6f84841856a1f49f · protocol 2025-06-18 |
| First / last listed | 2026-11-10 00:37 UTC / 2026-11-10 00:37 UTC |
| Grade over time | 2026-11-10: A (93), 13 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: search_resources find_mcp_for_task recommend_stack get_resource compare_mcps get_installation analyze_project plan_project_sprints map_resources_to_project recommend_resources_for_sprint generate_agent_blueprint generate_config_bundle get_next_project_action
search_resources | Search ABCommunity's catalog of 12,000+ AI resources (MCP servers, tools, skills, APIs, libraries, frameworks). Filter by capabilities, resource type, supported client/platform, pricing, deployment (remote/local), open-source and verified status. Returns ranked resources with human-readable match quality and source links. params: query, resource_type, capabilities, platform, pricing, deployment, open_source, verified, official, limit |
find_mcp_for_task | Describe in natural language what you want your AI to do. ABCommunity detects the required capabilities, searches the marketplace, and returns the recommended MCP(s) plus alternatives, with reasoning. Example: 'I want my AI to read Gmail and create Linear tasks.' params: task*, platform, deployment_preference, pricing_preference, open_source_preference, security_preference |
recommend_stack | For a multi-step workflow, recommend the set of MCPs needed, each one's role, the workflow order, and which are required vs optional. Does not pad the stack with unnecessary MCPs and reports any capabilities left uncovered. params: task*, platform, deployment_preference, pricing_preference, open_source_preference |
get_resource | Return complete structured marketplace metadata for a resource by slug or id: capabilities, tools, transports, auth, packages, compatibility, pricing, security, quality signals, installation, versions and source links. params: slug, resource_id |
compare_mcps | Factual side-by-side comparison of two to five MCPs across capabilities, pricing, auth, deployment, maintenance, compatibility, open-source status and tool count. No subjective winner is chosen. params: refs* |
get_installation | Return the official installation method(s), config example, package info, transports, auth requirements and source references for a resource. Never fabricates commands — if nothing is recorded, it says so and points to the official docs. params: resource*, client |
analyze_project | Understand a project idea or repo summary and return product type, stack, stage, modules, risks, and open questions. params: project_description, repo_url, repo_snapshot, goals, constraints, target_platforms, preferred_stack |
plan_project_sprints | Break a project into execution-ready sprints with tasks, acceptance criteria, risks, and next actions. params: project_context, project_description, time_horizon, team_size, sprint_length, delivery_style |
map_resources_to_project | Explain which ABCommunity resources apply to a project, when to use them, how to apply them, and what config/risk is involved. params: project_context, project_description, focus_area, limit |
recommend_resources_for_sprint | Recommend MCPs, skills, tools, APIs, and frameworks for one sprint in a project roadmap. params: project_context, project_description, sprint_id, focus_area, limit |
generate_agent_blueprint | Create role-specific agent instructions for a project sprint or area. params: project_context, project_description, role, sprint, resources |
generate_config_bundle | Create safe client-specific MCP config notes, env checklist, install steps, and verification steps for selected resources. params: project_context, project_description, selected_resources, client |
get_next_project_action | Return the next most useful action for a project based on its sprint roadmap and current state. params: project_context, project_description, state |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.