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Streamparse

mukundakatta/streamparse-mcp
STDIOregistry active
Summary

When Claude or another LLM is streaming a tool call and you need to work with the JSON before it finishes, this gives you three tools that actually handle the mess. parse_partial_json closes open braces and quotes to return a usable object even from truncated input, reporting confidence and how many bytes it consumed. extract_json_from_text strips markdown fences and prose around embedded JSON. validate_json does strict RFC 8259 checking with precise error positions. Built on the streamparse library, it runs via npx in Claude Desktop, Cursor, Cline, and other MCP clients. Useful when you're building agents that need to reason about their own incomplete structured outputs mid-generation.

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streamparse-mcp

npm tests 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.

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Categories
AI & LLM ToolsData & Analytics
Registryactive
Package@mukundakatta/streamparse-mcp
TransportSTDIO
UpdatedApr 25, 2026
View on GitHub

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