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Astra DB

Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.

Connector by erichare · GitHub account verified by the MCP Registry

IndexedApache-2.0Local (stdio)Remote (HTTP)
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Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/erichare-astra-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://astra-widgets-mcp.vercel.app/mcp Remote (HTTP)

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About

Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
11 read · 4 write · 3 delete
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 18

Read from the source code; the running server may list different tools.

Read 11 · Look things up without changing anything.

  • code_examples
  • connection_status
  • count
  • database_overview
  • describe_collection
  • describe_table
  • distinct_values
  • find
  • list_databases
  • list_vectorize_providers
  • vector_search

Write 4 · Create, change, send or run things.

  • create_collection
  • create_index
  • create_table
  • insert

Delete 3 · Delete, drop, revoke or wipe things.

  • delete
  • drop
  • update

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • ASTRA_DB_APPLICATION_TOKEN

Other settings (environment variables or headers).

  • ASTRA_DB_API_ENDPOINT
  • ASTRA_DB_KEYSPACE
  • ASTRA_MCP_READ_ONLY

Network hosts it talks to 1

  • astra-widgets-mcp.vercel.app · found in remote endpoint, install command

Tools (18)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • code_examplesData API code examplesread-only

    Canonical Data API client code for Python (astrapy), TypeScript (@datastax/astra-db-ts), Java, C#, and Go from the bundled, documentation-derived example library. Use when writing application code; snippets read ASTRA_DB_APPLICATION_TOKEN / ASTRA_DB_API_ENDPOINT from the environment.

  • connection_statusAstra DB connection statusread-only

    Check whether Astra DB credentials are configured and working: where the token, endpoint, and keyspace come from (env, .env, plugin settings, Astra CLI), which database is targeted, and a live connectivity check. Call it first when another tool reports not_configured or an auth error.

  • countCount documentsread-only

    Exact count of documents in a collection matching a filter, up to upperBound (Data API maximum 1000); unfiltered counts also report the estimated total.

  • create_collectionCreate collection

    Create a collection: plain JSON, vector (dimension + metric), or vectorize (server-side embeddings from a provider — see list_vectorize_providers), optionally with lexical (BM25) and rerank for hybrid search, indexing allow/deny, and a default id type. Idempotent when the settings match an existing collection.

  • create_indexCreate table index

    Create an index on a table column: regular (filtering and sorting), vector (similarity search on a vector column), or text (BM25 lexical search). Collections index fields automatically.

  • create_tableCreate table

    Create a table with typed columns (text, int, uuid, timestamp, map/list/set, vector…) and a primary key (partition columns plus optional clustering order). Then add indexes with create_index for columns you filter or vector-search on.

  • database_overviewAstra DB overviewread-only

    Map a database: keyspaces → collections (vector dimension/metric, vectorize model, lexical/rerank, estimated counts) and tables (column and vector-column counts). Start here to see what exists. Renders an interactive overview.

  • deleteDelete documents or rows

    Delete the document/row matching a filter. `many` deletes every match; `many` or an empty filter requires the user's confirmation.

  • describe_collectionDescribe collectionread-only

    Show one collection's configuration and shape: vector settings, vectorize and rerank services, lexical, indexing allow/deny, default id type, estimated count, and a sample document with field types. Use before writing queries or code against it.

  • describe_tableDescribe tableread-only

    Show one table's schema: columns and types, primary key (partition and clustering columns), indexes, vector columns, and sample rows. Use before writing queries or code against it.

  • distinct_valuesDistinct valuesread-only

    Distinct values of a field (dot paths allowed) across up to scanLimit documents or rows, optionally filtered — useful for discovering categories before filtering.

  • dropDrop collection, table, or index

    Permanently drop a collection, a table, or a table index, with all its data. Always requires the user's explicit confirmation.

  • findFind documents or rowsread-only

    Read documents (collections) or rows (tables) with an optional Data API filter, sort, and projection. Returns pages of 20 plus nextPageState for more. For similarity search use vector_search. Renders an interactive explorer.

  • insertInsert documents or rows

    Insert 1–1000 documents into a collection (or rows into a table), in chunks. On vectorize collections use "$vectorize": "text" to embed server-side; otherwise "$vector": [...] for your own embeddings. Reports inserted ids and any per-document errors.

  • list_databasesList Astra databasesread-only

    List the Astra databases this token can access (DevOps API): name, id, status, regions with Data API endpoints, and keyspaces. Use it to choose the `database` argument of other tools.

Show 3 more tools
  • list_vectorize_providersVectorize providersread-only

    List the embedding (vectorize) and reranking providers and models available to the database, with dimensions and authentication options. Use before create_collection with a vectorize service.

  • updateUpdate documents or rowscan change or delete data

    Update the document/row matching a filter with operators ($set, $unset, $inc, $push, …). `many` updates every match (collections only); `many` or an empty filter requires the user's confirmation. `upsert` inserts when nothing matches.

  • vector_searchVector searchread-only

    Similarity search by natural-language `query` (server-side vectorize), an explicit `vector`, or `documentId` (more like this). `hybrid` combines vector and lexical (BM25) results with reranking on collections that have both. A filter narrows candidates. Returns ranked hits with similarity scores; renders an interactive results view.

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
18
Last commit (this folder)
Oct 13, 2026 (17 days ago)
Last release
Sep 30, 2026 (1 month ago)
Last package publish
Sep 29, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.erichare/astra-mcp
Version
2.0.0
Auth
Auth not stated, API key
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 25, 2026

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Cite this page

Astra DB MCP server. Agent Mart. https://agentmart.dev/connectors/erichare-astra-mcp (last updated 2026-10-25)