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Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
Excellent security posture. The streamparse-mcp server is a focused utility for JSON parsing with no authentication requirements (appropriate for its stateless, input-only design). Code is clean, well-structured, and free of injection vulnerabilities, credential handling issues, or malicious patterns. Permissions are minimal and appropriate to purpose. No security concerns identified. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
4 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mukundakatta-streamparse": {
"args": [
"-y",
"@mukundakatta/streamparse-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
parse_partial_jsonRecover 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_textStrip 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"]
}
}
}
Same shape, in the appropriate mcp.json for your client. Most clients
auto-discover via npx -y @mukundakatta/streamparse-mcp.
npm install -g @mukundakatta/streamparse-mcp
mcp-streamparse # listens on stdio
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.
MIT.
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