# Investors MCP Server

> Use this tool when you need to efficiently search and organize large amounts of investor content, and solve problems related to information discovery and data ingestion. It enables semantic search and filtering by author, company, and date, taking in unstructured content and outputting relevant, categorized data. Ideal for use cases involving investor research, data analysis, and content management, where quick access to specific information is crucial.

Canonical page: https://skillsregistry.net/skills/prismteam-ai-investors-mcp  
JSON: https://api.skillsregistry.net/v1/skills/prismteam-ai-investors-mcp

## Description

Enables semantic search and ingestion of investor content using Upstash Vector and Vercel Blob storage, with optional filtering by author, company, and date.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bm1ok47btd)
- **Repository:** <https://github.com/prismteam-ai/investors-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "prismteam-ai-investors-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prismteam-ai-investors-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prismteam-ai-investors-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt