Who should use vectorise-mcp?

vectorise-mcp is an open-source project built for AI developers and researchers using Claude.

Does vectorise-mcp have a free plan?

Yes — vectorise-mcp is open source under the MIT license and free to use.

What platforms does vectorise-mcp run on?

vectorise-mcp runs on the web and the command line.

Is vectorise-mcp still maintained?

The GitHub repository shows 2 commits in the last 90 days.

What are alternatives to vectorise-mcp?

Similar projects tracked by PulseGate include vectorize-me, image2svg-mcp, and verso-mcp.

Is vectorise-mcp open source?

Yes — vectorise-mcp is open source under the MIT license, developed on GitHub.

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vectorise-mcp

github.comInfrastructure

vectorise-mcp is an open-source local MCP server that processes folders of dense documents to create a vector embedding database, enabling Claude to perform efficient local search and retrieval. It is aimed at AI developers and researchers working with retrieval-augmented generation.

Open SourceMITWebCLI

Visit github.com

Overview

5 features

In the Foundation models & chat space, vectorise-mcp takes a focused approach. It focuses on enabling local document search and retrieval for Claude by building a vector embedding database from dense document folders. vectorise-mcp is an open-source project aimed at AI developers and researchers using Claude. The project is open source (MIT). It ships for the web and the command line.

vectorise-mcp first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are vector embedding DB, document ingestion, and Local MCP server. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

Vector embedding DB
Document ingestion
Local MCP server
Claude integration
Folder processing

Built with & integrations

AI providers

local_oss

Connectors

MCP

Runs on

BrowserCLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed25 Jun · 21:22 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about vectorise-mcp

What is vectorise-mcp?: Vectorise-mcp focuses on enabling local document search and retrieval for Claude by building a vector embedding database from dense document folders. It is catalogued under Foundation models & chat on PulseGate.
Who should use vectorise-mcp?: vectorise-mcp is an open-source project built for AI developers and researchers using Claude.
Does vectorise-mcp have a free plan?: Yes — vectorise-mcp is open source under the MIT license and free to use.
What platforms does vectorise-mcp run on?: vectorise-mcp runs on the web and the command line.
Is vectorise-mcp still maintained?: The GitHub repository shows 2 commits in the last 90 days.
What are alternatives to vectorise-mcp?: Similar projects tracked by PulseGate include vectorize-me, image2svg-mcp, and verso-mcp.vectorize-me image2svg-mcp verso-mcp
How long has vectorise-mcp been around?: vectorise-mcp first shipped in 2026.
Is vectorise-mcp open source?: Yes — vectorise-mcp is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: AI developers and researchers using Claude
Model: Open source
Solves: Enabling local document search and retrieval for Claude by building a vector embedding database from dense document folders.

Registered as

GitHub: jameslovespancakes/Vectorised-Embedding-MCP
PyPI: vectorise-mcp

Developer

Jameslovespancakes

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 8 May 2026
Commits 90d: 2
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 25 Jun 2026
Lifecycle: Alive
Last seen: 25 Jun 2026

Identity audit (12)

Slug: vectorise-mcp-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 25 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/jameslovespancakes/Vectorised-Embedding-MCP

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