Vectros Ai MCP Server
A Model Context Protocol server for Vectros - a typed, multi-tenant record store unified with hybrid search and citation-grounded RAG. Deterministic lookups and enumeration and semantic search over one isolated, per-customer index of records and documents - so an agent gets memory that's precise, not just fuzzy recall. Its 23 documented tools cover record, document, folder, ask.
People who work with record, document and folder and want it reachable from Claude, Cursor, VS Code, or another MCP client. The project is written in TypeScript.
VERIFIED ACTIVE
LAST COMMIT 2026-09-08 · ★ 3 · #66 OF 208 MAINTAINED DOCUMENTATION · VERIFIED 2026-09-18
Apache-2.0 · TypeScript servers · how we verify → /methodology
01 · Install Vectros Ai MCP Server
before you install - you'll need
Set VECTROS_API_KEY, VECTROS_BOOTSTRAP_TOKEN, VECTROS_MCP_HTTP_PORT, VECTROS_MCP_HTTP_BEARER_TOKEN, VECTROS_API_BASE_URL before connecting.
Claude Code
claude mcp add vectros-ai-vectros-mcp-server -- npx -y @vectros-ai/mcp-server Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"vectros-ai-vectros-mcp-server": {
"command": "npx",
"args": [
"-y",
"@vectros-ai/mcp-server"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license Apache-2.0 - declared in the repository
npm package @vectros-ai/mcp-server - published under the repo owner's npm scope (@vectros-ai)
registry namespace io.github.vectros-ai is GitHub-verified and matches the repo owner
03 · What Vectros Ai MCP Server can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
What you can build
With this server connected, an agent can ask a question grounded against a single document. Same aggregation + progress-notification shape as rag_ask, fetch one record by id, including its full payload (large payloads truncated to protect the agent context window), create a record of a given type, and patch a record's payload (deep-merged.
Capability map
Tools grouped from the project's README - what Vectros Ai MCP Server lets an agent do.
Record
7 tools - e.g. Query records by lookup field - equality (value), range, or prefix, with asc/desc ordering and an optional sortFrom/sortTo window - or list mode, choosing one o; Fetch one record by id, including its full…
record_query · record_get · record_batch_get · record_create · record_batch_write · record_update…
Document
6 tools - e.g. Ask a question grounded against a single document. Same aggregation + progress-notification shape as rag_ask.; Create a document - inline text body OR local file upload (file mode is stdio-transport…
document_ask · document_ingest · document_query · document_get · document_update · document_delete
Folder
4 tools - e.g. Get a folder by id, or list folders (a parent's children for tree navigation, or a flat tenant list; paginated via nextCursor).; Create a folder.; Update a folder's name / description / ownership…
folder_query · folder_create · folder_update · folder_delete
read & search
2 tools - e.g. List the record-schema catalog the credential can see (filter by surface or resolve one by recordType). Makes record_query / record_create discoverable.; Resolve a user, or an identity entity in a…
list_schemas · lookup_principal
Hybrid
1 tool - e.g. Hybrid BM25 + dense search across the tenant's indexed content (records + documents). Narrow by ownership (scope for one dimension, scopeFilters for several at
hybrid_search
Rag
1 tool - e.g. Ask a question grounded against the indexed corpus. Scope retrieval (ownership - scope or multi-dimension scopeFilters - / folder / type / metadata filters / da
rag_ask
Current
1 tool - e.g. Describe the credential: tenantId, environment, principalType, principalKeyId, principalLabel, and (for scoped credentials) allowedActions + dataScope. Does not
current_identity
Version
1 tool - e.g. Read the audit/version trail (CREATE/UPDATE/DELETE, with actor + diff) for one record or document. Read-only.
version_history
Latest releases
v0.17.0 · 2026-09-08
Vectros MCP server v0.17.0 - Claude Desktop one-click install. Download vectros.mcpb and open it in Claude Desktop (Settings → Extensions), then add your Vectros API key (or run npx -y @vectros-ai/cli bootstrap).
v0.16.1 · 2026-08-30
Vectros MCP server v0.16.1 - Claude Desktop one-click install. Download vectros.mcpb and open it in Claude Desktop (Settings → Extensions), then add your Vectros API key (or run npx -y @vectros-ai/cli bootstrap).
v0.16.0 · 2026-08-27
Vectros MCP server v0.16.0 - Claude Desktop one-click install. Download vectros.mcpb and open it in Claude Desktop (Settings → Extensions), then add your Vectros API key (or run npx -y @vectros-ai/cli bootstrap).
04 · Who maintains Vectros Ai MCP Server
mcp-server is maintained by vectros-ai. It's the only MCP server we track from this author; the repo dates to May 2026.
05 · Facts
- repository
- github.com/vectros-ai/vectros-mcp-server
- website
- https://vectros.ai/
- category
- documentation - ranked #66 of 208 actively-maintained documentation servers as of 2026-09-18.
- release cadence
- 10+ releases in the last 90 days (latest 2026-09-08)
- registry
- io.github.vectros-ai/mcp-server (active, first published 2026-06-27 · 14 versions)
- packages
- npm:@vectros-ai/mcp-server
06 · Vectros Ai MCP Server FAQ
Is Vectros Ai MCP Server still maintained?
Yes - as of 2026-09-18, its last commit was 2026-09-08 and it shipped 10+ releases in the last 90 days. We re-verify nightly.
What can Vectros Ai MCP Server do?
With this server connected, an agent can ask a question grounded against a single document. Same aggregation + progress-notification shape as rag_ask, fetch one record by id, including its full payload (large payloads truncated to protect the agent context window), create a record of a given type, and patch a record's payload (deep-merged.
How do I install Vectros Ai MCP Server?
Run `npx -y @vectros-ai/mcp-server`. The README documents 5 environment variables (VECTROS_API_KEY, VECTROS_BOOTSTRAP_TOKEN, VECTROS_MCP_HTTP_PORT…) to set first. Set VECTROS_API_KEY, VECTROS_BOOTSTRAP_TOKEN, VECTROS_MCP_HTTP_PORT, VECTROS_MCP_HTTP_BEARER_TOKEN, VECTROS_API_BASE_URL before connecting. You can also paste the ready-made client config above.
Does Vectros Ai MCP Server run locally?
Yes - it's a stdio server: it runs on your machine (via npx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to Vectros Ai MCP Server
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