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Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
About
Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
Security Report
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.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mukundakatta-streamparse": {
"args": [
"-y",
"@mukundakatta/streamparse-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
Reviews
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