Getcoherence MCP vs Vendo AI
A side-by-side look at the Getcoherence MCP and Vendo AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
V
Vendo AICustomer Data PlatformsAutonomous AI sales: agents, signal-based prospecting, outreach, CRM — 149 tools.37FairAuth: not declaredVerdict: choose Getcoherence MCP for customer data platforms work as a local process; choose Vendo AI for customer data platforms. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Getcoherence MCP when
- You need dedicated capabilities in the Customer Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
COHERENCE_API_TOKEN, COHERENCE_API_URL. - You want tools like
chat_with_agent, list_modules, list_module_fields.
VChoose Vendo AI when
- You need dedicated capabilities in the Customer Data Platforms domain.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | V Vendo AI | |
|---|---|---|
| Category | Customer Data Platforms | Customer Data Platforms |
| Quality signal | 53/100 · Good | 37/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | COHERENCE_API_TOKENCOHERENCE_API_URL | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | — |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 13 | Not listed |
| Full listing | View Getcoherence MCP | View Vendo AI |
Tools & capabilities
Getcoherence MCP tools 13
chat_with_agentSend a message to a Coherence agent; the agent uses its own toolset (email, reminders, calendar, social, landing pages, approvals, etc.) and returns its responselist_modulesList CRM modules in the workspacelist_module_fieldsList fields on a module — useful before creating/updating recordslist_recordsList records in a module with search + paginationget_recordGet a single record by IDcreate_recordCreate a new recordupdate_recordUpdate a record's fieldsdelete_recordSoft-delete a record (recoverable from trash)list_outreach_itemsList blog articles, LinkedIn posts, emails, etc.get_outreach_itemGet a single outreach item, including its MDX contentcreate_outreach_itemCreate a new outreach itemupdate_outreach_bodyUpdate the MDX body of an outreach item- +1 more on the listing page
Vendo AI tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Getcoherence MCP
{
"mcpServers": {
"mcp-189": {
"command": "npx",
"args": [
"-y",
"@coherenceos/mcp-server"
],
"env": {
"COHERENCE_API_TOKEN": "YOUR_COHERENCE_API_TOKEN_HERE",
"COHERENCE_API_URL": "YOUR_COHERENCE_API_URL_HERE"
}
}
}
}
Vendo AI
No confirmed install command for Vendo AI yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Getcoherence MCP is categorized under Customer Data Platforms and uses a local stdio subprocess. Vendo AI belongs to Customer Data Platforms and uses an install path we have not confirmed yet. Pick Getcoherence MCP for customer data platforms work and Vendo AI for customer data platforms.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Vendo AI has no confirmed install command yet — follow its own setup instructions.
Getcoherence MCP has no declared pricing — check the project's own site. Vendo AI has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add mcp-189 and vendo-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Getcoherence MCP has a quality signal of 53/100 (Good) with 2 views, 0 installs and 2 GitHub stars. Vendo AI has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.