Lancelot

Lancelot

Search your documents from any MCP-compatible assistant. Lancelot connects an agent to a local LanceDB database and returns matching passages with their sources.

• Local text search works without an API key.
• Vector search uses OpenAI embeddings when configured, with text search as a fallback.
• Read-only tools retrieve documents and report database status. Indexing is a separate command.
• Stdio and Streamable HTTP support local clients, shared servers and AWS Lambda.

Quickstart · Install · Index documents · Tools · HTTP hosting · Privacy

Quickstart

Requires Node.js 20 or later. First, create a local LanceDB database from your documents (replace ./docs with a folder containing .md, .txt or .html files):

npx -y --package @ayerselectronics/lancelot lancelot-index ./docs ./lancelot-db

This creates the documents table in ./lancelot-db for local text search; no API key is needed. Running it again replaces that table with the folder's current contents.

Then, from the same directory, add the server to Claude Code using that database's absolute path:

claude mcp add --env LANCEDB_PATH="$PWD/lancelot-db" --transport stdio lancelot -- npx -y @ayerselectronics/lancelot

Ask Claude to search your documents with lancedb_search. For other MCP clients, see Install; for table options, see Index your documents.

Try the hosted server

Connect an MCP client to https://mcp.ayers.repair/lancelot to search the public Ayers documentation. This hosted instance does not read your files. To search your own documents, run the local server below.

Install

Requires Node.js 20 or later and a LanceDB database folder. If you do not have a database, index a folder of documents first. Use the database's absolute path in your client configuration.

Claude Code, using the stdio form from the Claude Code MCP documentation:

claude mcp add --env LANCEDB_PATH=/path/to/db --transport stdio lancelot -- npx -y @ayerselectronics/lancelot

--transport stdio sits between the last --env and the server name on purpose: the CLI reads a name that follows --env directly as another variable. Everything after -- runs the server.

For vector search, add --env OPENAI_API_KEY=YOUR_KEY before --transport. Your table must contain vectors created with the configured embedding model. Query text is then sent to OpenAI.

Other MCP clients take the same command in their mcpServers configuration:

{  "mcpServers": {    "lancelot": {      "command": "npx",      "args": ["-y", "@ayerselectronics/lancelot"],      "env": {        "LANCEDB_PATH": "/path/to/db"      }    }  }}

Install links

Open one of these in a browser or on the command line to add the server to the editor. Set LANCEDB_PATH to your database folder afterwards.

• VS Code: vscode:mcp/install?%7B%22name%22%3A%22lancelot%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40ayerselectronics%2Flancelot%22%5D%2C%22env%22%3A%7B%22LANCEDB_PATH%22%3A%22%2Fpath%2Fto%2Fdb%22%7D%7D
• Cursor: cursor://anysphere.cursor-deeplink/mcp/install?name=lancelot&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBheWVyc2VsZWN0cm9uaWNzL2xhbmNlbG90Il0sImVudiI6eyJMQU5DRURCX1BBVEgiOiIvcGF0aC90by9kYiJ9fQ==

The link formats are from the VS Code MCP guide and the Cursor install links documentation.

Registry

MCP Registry identity: io.github.ayers-software-repair/lancelot.

Setup command

lancelot-init asks for the database folder and an OpenAI API key, and stores them for later runs. The key goes to the operating system keychain through keytar, or to an encrypted file when keytar is not available. Run it with npx -p @ayerselectronics/lancelot lancelot-init. Environment variables override what it stored.

Index your documents

lancelot-index builds the table the server reads from a folder of .md, .txt and .html files:

npx -p @ayerselectronics/lancelot lancelot-index ./docs ./dbnpx -p @ayerselectronics/lancelot lancelot-index ./docs ./db --table documents

Rebuilding replaces the named table. Keep the original documents and choose a separate database folder for each collection you want to manage independently.

It walks the folder and its subfolders (skipping names that start with a dot), strips HTML to text, and splits each file into chunks of about 1,200 characters on paragraph boundaries. A paragraph longer than that is cut at a space. Each chunk becomes a row { id, path, title, text }: id is the relative path and chunk number, path is the relative path, and title is the first Markdown heading of the file, or the file name. There are no vectors, so search is text search.

--table names the table (default documents). The command replaces that table if it exists, so running it again rebuilds the table from the folder. It is the only part of the package that writes to a database; the server never does. Point LANCEDB_PATH at the database folder afterwards.

Tools

lancedb_search

The reply is JSON. Its searchType field is the search that produced the hits, vector or text. When that is not the search you asked for, a note field says why: no API key, the vector search failed, or (in auto) it found nothing. For vector hits score is the distance, so lower is closer. For text hits score is the share of query words found in the hit, so higher is better.

Text search is a case-insensitive substring match on the words of the query. It does not use a full-text index and does not stem words.

lancedb_query

The reply is a Markdown block: a header (mode, search type, query), then one section per chunk with its title, source and text. Chunks that would pass the budget are left out and the block says how many.

lancedb_status

lancedb_version

No parameters.

Table layout

Lancelot reads the text from the text column (text by default). It reads title for the title, and chunkSource, docSource or path for the source, when a row has them; the first two are the layout AnythingLLM writes, and path is what lancelot-index writes. Other columns come back as metadata. Vector search needs vectors made with the same model as EMBEDDING_MODEL.

HTTP mode

npx -y @ayerselectronics/lancelot --http                      # http://127.0.0.1:3000/mcpnpx -y @ayerselectronics/lancelot --http 8080npx -y @ayerselectronics/lancelot --http 8080 --host 0.0.0.0  # all interfaces

Without --http the server uses stdio. With it, the server uses MCP Streamable HTTP. The SDK negotiates the protocol version with each client. --http takes an optional port (default 3000). The server binds 127.0.0.1 unless --host names another address, as the specification advises for a local server. The endpoint is /mcp; any other path is 404.

• Origin. The specification says the server must validate the Origin header. A request that carries an Origin not listed in LANCELOT_ALLOWED_ORIGINS gets 403. With the variable unset, every request that carries an Origin gets 403. A request with no Origin header is allowed; an absent header is not an authentication check; the SDK's own origin check refuses those, so Lancelot does the check itself.
• Host. LANCELOT_ALLOWED_HOSTS lists the Host header values that may call, for DNS rebinding protection. Left unset on a loopback bind, it defaults to 127.0.0.1:<port>, localhost:<port> and [::1]:<port>. Left unset with --host 0.0.0.0, the Host header is not checked and a warning goes to stderr. A request with a Host not listed gets 403.
• Stateless. No session id is issued. Each POST gets its own MCP server and transport, closed when the response ends, and answers with one JSON object. GET (the optional event stream) and DELETE (ending a session) answer 405 with Allow: POST, which the specification permits.
• Limits. A body over 64 KB is 413. A body that is not JSON is 400.
• Protocol version. The MCP-Protocol-Version header is checked by the SDK: a version it does not support is 400, and a missing header is taken as 2025-03-26, as the specification says.

Both variables take comma-separated lists, for example LANCELOT_ALLOWED_ORIGINS=https://app.example,https://other.example. HTTP mode has no authentication; the tools are read-only, and a server open to a network should sit behind something that has it.

AWS Lambda

dist/lambda.js exports handler(event) for an API Gateway HTTP API with payload format 2.0. It turns the event into the request the SDK's transport expects and returns { statusCode, headers, body }. It reads LANCEDB_PATH, LANCELOT_BASE_PATH (the path the endpoint is served under, such as /lancelot; unset serves every path) and the two allow-list variables. The database connection is opened on the first invocation and reused on warm ones. The function may write only to /tmp, where Lancelot keeps its own settings file.

The Dockerfile builds the container image on the AWS Node.js 24 base image for arm64, with the handler dist/lambda.handler. Build dist first:

docker buildx build --platform linux/arm64 --provenance=false -t lancelot-lambda .

Environment variables

Settings come from, in order: the environment, the file written by lancelot-init, the defaults. A variable that is empty or only whitespace counts as not set; the stored value is checked next. Text search is used when no OpenAI key is available from either source.

Standard output

The MCP stdio transport says the server writes only valid MCP messages to stdout, and that it may write logs to stderr. Lancelot follows that:

• Every log level goes to stderr. The logger has one transport, a winston Console transport with all seven levels listed in stderrLevels.
• The server entry point points console.log, console.info and console.debug at stderr, so a library that prints does not corrupt the stream.
• The server reads stdin until the client closes it, then exits.

HTTP mode keeps the same rule: it writes nothing to stdout either.

lancelot-init and lancelot-index write to stdout. They talk to a person at a terminal and are never started as a server.

Read-only

The four tools open a table and query it. No code the server runs creates a table, adds, updates or deletes rows, or builds an index, and the server does not create the database folder if the path is wrong. The one exception in src is src/bin/lancelot-index.ts, a separate command that builds a table (see Index your documents); the server never imports it. tests/readonly.test.ts scans the rest of the source for those calls, and tests/integration.test.ts compares every database file before and after all four tools run.

Lancelot keeps its own settings and credentials in the per-user configuration directory, never in the database folder.

Privacy

Local text search runs on your machine. When an OpenAI key is available from the environment or your saved credentials, vector search sends query text to OpenAI to compute embeddings. Database contents are returned to the MCP client you connected; that client controls how it uses them. The public hosted endpoint receives the queries you send to it.

Privacy policy and terms: the full statement, including what the hosted endpoint receives.

Development

npm cinpm run check    # typecheck, lint, build, unit and integration tests

Node 20 or later. See CONTRIBUTING.md.

License

Apache-2.0. See LICENSE and NOTICE.

Published by Ayers Electronics.