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io.github.MukundaKatta/streamparse

Official registry AI and agents

Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @mukundakatta/streamparse-mcp
Claude Code 
claude mcp add streamparse -- npx -y @mukundakatta/streamparse-mcp@1.0.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "streamparse": {
            "command": "npx",
            "args": [
                "-y",
                "@mukundakatta/streamparse-mcp@1.0.1"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. streamparse-mcp
  2. Tools exposed
  3. Why this matters
  4. License

streamparse-mcp

An MCP server that gives AI assistants the ability to parse partial / messy / truncated JSON.

Built on top of @mukundakatta/streamparse. Works with Claude Desktop, Cursor, Cline, Windsurf, Zed, and any other MCP client.

Tools exposed

parse_partial_json

Recover a JSON value from a possibly-truncated string. Always returns a valid value with synthetic closure of any open strings, arrays, or objects.

{
  "text": "{\"type\":\"tool_use\",\"name\":\"edit_file\",\"input\":{\"path\":\"a/b.ts\",\"cont"
}

→

{
  "value": {
    "type": "tool_use",
    "name": "edit_file",
    "input": { "path": "a/b.ts", "cont": null }
  },
  "complete": false,
  "path": ["input", "cont"],
  "bytes_consumed": 67,
  "confidence": 0.65
}
extract_json_from_text

Strip prose, `json fences, and comments around a JSON value embedded in LLM output. Returns the first parseable value.

Sure, here you go:
```json
{ "answer": 42 }

Let me know!


→ `{ "answer": 42 }`

### `validate_json`

Strict-mode RFC 8259 validator. Returns `ok=true` and the parsed value on
success, or `ok=false` with a precise byte position and error message on
failure.

## Install

### Claude Desktop

Add to `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "streamparse": {
      "command": "npx",
      "args": ["-y", "@mukundakatta/streamparse-mcp"]
    }
  }
}
Cursor / Cline / Windsurf / Zed

Same shape, in the appropriate mcp.json for your client. Most clients auto-discover via npx -y @mukundakatta/streamparse-mcp.

Local install
npm install -g @mukundakatta/streamparse-mcp
mcp-streamparse        # listens on stdio

Why this matters

When an LLM is mid-tool-call and you need the assistant to reason about the half-formed JSON it just wrote, no other tool gives a usable answer. Standard JSON.parse throws. Regex extraction misses nested structure. This MCP server gives Claude (or whichever model is driving) a real handle on partial JSON, right where it lives.

License

MIT.

Frequently asked questions

What is io.github.MukundaKatta/streamparse?

Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.

How do I install io.github.MukundaKatta/streamparse?

It runs on your machine. In Claude Code: claude mcp add streamparse -- npx -y @mukundakatta/streamparse-mcp@1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.MukundaKatta/streamparse need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.MukundaKatta/streamparse open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.MukundaKatta/streamparse?

It is published by MukundaKatta. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.