MCP Server

Sharebench

ai.sharebench/registry
MCP & Agent Infrastructure Public & reachable MCP 2025-11-25

What this MCP does

Enables MCP clients to search for and pull AI skills, agents, prompts, and playbooks.

get_by_id
Fetch the full SKILL.md content and metadata for a single artifact. Provide EXACTLY ONE of `artifactId` (the UUID returned by `search`) or `slug` (the URL-safe identifier, e.g. from a `/p/<slug>` link). Passing both or neither returns a `validation_failed` error. Use this after `search` to retrieve the body of a hit the user wants to read, summarize, apply, or fork. Returns the artifact's name, description, type, contributor, version, timestamps, the full SKILL.md text (YAML frontmatter + markdown body, up to 256 KB), the number of bundled extras (`bundledCount`), their filenames (`bundledFilenames`), per-file metadata in `bundledFiles` (each entry has `key`, `filename`, and `originalRef` — the EXACT body-relative reference string the importer matched, or `null` when the file was bundled without a body reference; use this to translate a link span in the body back to its bundle filename), and the public-surface fields `slug`, `authorCredit`, `industries`. To fetch a bundled extra, read it as a resource at `artifact://<artifactId>/bundled/<filename>`.
Input schema
{'type': 'object', 'properties': {'slug': {'type': 'string', 'pattern': '^[a-z0-9](?:[a-z0-9-]*[a-z0-9])?$', 'maxLength': 80, 'minLength': 1, 'description': 'URL slug for the artifact (e.g. `brand-voice`). Take this from the `slug` field of a `search` result or a /p/<slug> link. Mutually exclusive with `artifactId`.'}, 'artifactId': {'type': 'string', 'format': 'uuid', 'description': 'UUID of the artifact. Take this from the `artifactId` field of a `search` result. Mutually exclusive with `slug`.'}}, 'additionalProperties': False}
search
Search this workspace's published artifacts (skills, agents, workflows, and knowledge documents in SKILL.md format). Returns ranked metadata — name, description, type, contributor, timestamps, bundledCount, slug, authorCredit, and industries — but NOT the full body. To read an artifact's content, call `get_by_id` with the returned `artifactId` (or `slug`), or read it as a resource at `artifact://<artifactId>`. Use this whenever the user wants to find, discover, browse, or filter existing artifacts before reading or contributing. Modes: `hybrid` (default; combines lexical and semantic ranking via reciprocal rank fusion — best for most queries), `bm25` (exact-keyword or name lookups), `semantic` (concept matching when the user's terms differ from artifact text). Pass `industries: ['marketing', 'legal']` to narrow results to artifacts tagged with ANY of those industries (keyword-array overlap). If hybrid silently degrades because the embedding service is unavailable, the response's `warnings` array will contain `embedding_degraded:hybrid-fell-back-to-bm25` — surface this to the user if precision matters.
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'mode': {'enum': ['hybrid', 'bm25', 'semantic'], 'type': 'string', 'description': 'Ranking strategy. Default: hybrid.'}, 'type': {'enum': ['skill', 'agent', 'workflow', 'knowledge'], 'type': 'string', 'description': 'Filter by artifact category. Omit for all types.'}, 'limit': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'Maximum hits to return. Default: 20.'}, 'query': {'type': 'string', 'maxLength': 200, 'minLength': 1, 'description': 'Free-text query. Names, phrases, or natural-language concepts.'}, 'offset': {'type': 'integer', 'minimum': 0, 'description': 'Pagination offset for navigating result sets.'}, 'industries': {'type': 'array', 'items': {'type': 'string', 'maxLength': 80, 'minLength': 1}, 'maxItems': 5, 'description': 'Filter to artifacts tagged with ANY of these industry slugs (keyword-array overlap). Up to 5 values.'}}, 'additionalProperties': False}
Added
get_by_id
Sept. 17, 2026, 7:57 a.m.
Added
search
Sept. 17, 2026, 7:57 a.m.