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  3. ERP Partner Finder
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 3:16:47 AM

ERP Partner Finder

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View RepositoryVisit Website
odooerppartner-searchmcpgermany

Find and compare Odoo implementation partners in Germany, Austria, and Switzerland through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "erp-partner-finder": {
      "url": "https://erppartnerfinder.com/api/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

ERP Partner Finder MCP server lets AI agents search, compare, and shortlist Odoo implementation partners in Germany, Austria, and Switzerland. It runs as a remote Streamable HTTP endpoint without an API key and uses public Odoo directory data plus facts collected from partner websites. Use it to filter partners, inspect profiles, produce rule-based matches, review directory statistics, or prepare a buyer-controlled request. Agents can prepare a request link, but they do not submit contact details or send inquiries to partners.

Use cases

β€’Find Odoo Gold partners with offices in Vienna
β€’Compare partner pricing and project-size information
β€’Shortlist partners for a manufacturing implementation
β€’Review Odoo partner coverage by country and tier
β€’Prepare a buyer-controlled request for selected partners

Key features

β€’Filter and rank Odoo partners
β€’Retrieve detailed partner profiles
β€’Generate rule-based project shortlists
β€’Analyze directory statistics
β€’Prepare buyer-controlled request links
β€’Access data over remote Streamable HTTP

Capabilities & Tool Schemas (5) ~203 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by ERP Partner Finder.

search_partners

Filter by country, city, tier (gold/silver/ready), app specialism, industry focus or text; ranked by the published formula

get_partner

Full profile: odoo.com figures (tier, references by industry, certified experts, project sizes, retention) and facts from the partner's own website (services, prices, AI-assisted delivery, hosting, languages)

match_partners

Rule-based shortlist (up to 5) for a project β€” country, industry, size, apps, languages β€” with the reasons for each match

prepare_request

Saves the project answers (no personal data) and returns a link where the buyer adds their own contact details, confirms by email and chooses the partners. Agents never send anything to partners

directory_stats

Partners per country and tier, medians per tier, pricing transparency, cities and app specialisms

How ERP Partner Finder works

What the ERP Partner Finder MCP server does

The ERP Partner Finder MCP server gives AI agents access to an independent directory of Odoo implementation partners in Germany, Austria, and Switzerland. The directory covers approximately 190 partners and is updated weekly. It supports research tasks such as finding Gold partners in a particular city, comparing project and pricing information, or identifying firms with experience in a specific industry or Odoo application.

Partner records combine public information from the Odoo partner directory with facts summarized from each partner’s own website. Odoo-sourced fields include tier, industry references, certified experts, project-size ranges, and retention. Website-derived fields can include services, stated prices, AI-assisted delivery, hosting, and supported languages.

How it works

The service is available at https://erppartnerfinder.com/api/mcp through Streamable HTTP. No API key is required. An MCP-compatible client sends tool calls to the endpoint, and the server returns partner records, ranked search results, matching explanations, or aggregate directory data.

Search results follow the directory’s published ranking formula, which is applied consistently across partners. Matching is rule-based rather than a personal recommendation system: the inputs can include country, industry, company size, applications, and languages, and the result contains up to five candidates with reasons for each match.

The prepare_request tool stores project answers without personal data and returns a link. The buyer uses that link to add contact details, confirm by email, and select partners. Agents do not send requests to partners on the buyer’s behalf.

Setup and configuration

For Claude Code, add the remote endpoint with the HTTP transport:

Terminal
claude mcp add --transport http erppartnerfinder https://erppartnerfinder.com/api/mcp

For clients using an mcpServers configuration, set the server URL to the same endpoint:

config.json
{
  "mcpServers": {
    "erppartnerfinder": {
      "url": "https://erppartnerfinder.com/api/mcp"
    }
  }
}

Clients that only accept stdio can use mcp-remote with npx to bridge to the HTTP endpoint. The repository also documents a JSON feed at https://erppartnerfinder.com/api/partners, with an optional country filter for DE, AT, or CH.

Tools and capabilities

The ERP Partner Finder MCP server exposes five tools:

  • search_partners filters by country, city, tier, application specialization, industry focus, or text, then ranks the results using the published formula.
  • get_partner returns a detailed profile with Odoo directory figures and selected information from the partner’s website.
  • match_partners creates a project-oriented shortlist of up to five partners and explains the matching factors.
  • prepare_request records non-personal project answers and creates a buyer-facing request link.
  • directory_stats reports partner counts by country and tier, tier medians, pricing transparency, cities, and application specialisms.

Limitations and notes

The data covers company information only; it does not provide personal data. The service is operated by Knowlix GmbH, which is also listed as an Odoo partner, but it is not affiliated with or endorsed by Odoo S.A. There are no paid placements according to the published rules.

The directory is intended for lookup and citation with links to partner profiles. The repository asks users not to bulk-copy or republish its data. Website facts depend on information published by the partners, while Odoo-specific figures come from the public Odoo partner directory.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
9d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about ERP Partner Finder

ERP Partner Finder is an MCP server that connects AI agents to an independent directory of Odoo partners in Germany, Austria, and Switzerland. Its main tools search and rank partners, retrieve profiles, create rule-based shortlists, prepare buyer-controlled requests, and report directory statistics without exposing personal data.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Code, Claude Desktop, Cursor
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 4, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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