MCP.Market

Streamparse MCP server

by MukundaKatta·io.github.MukundaKatta/streamparse·v1.0.1
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Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

0 stars39 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Streamparse tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • extract_json_from_text

    Extract and parse a JSON value embedded in messy LLM output. Strips ```json fences, leading/trailing prose, code comments, and tolerates other LLM-isms. Returns the first parseable value and where in the text it started.

  • parse_partial_json

    Parse a JSON string that may be truncated mid-stream (e.g. a partial LLM tool call). Always returns a valid JSON value with synthetic closure of any open strings, arrays, or objects. Reports whether the input represented a complete top-level value, plus the cursor path where parsing stopped.

  • validate_json

    Strict-mode RFC 8259 validator. Returns ok=true and the parsed value if the input is valid JSON; otherwise returns ok=false with a precise byte position and human-readable message.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 22 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Streamparse compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,464 AI and agents servers
Tools
3
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
39
more than 32% of 1,515 AI and agents servers with a package

What its tools let an agent do: 3 read

Install Streamparse in Claude Code, Cursor or VS Code

Runs npx -y @mukundakatta/streamparse-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add streamparse -- npx -y @mukundakatta/streamparse-mcp
Add to Cursor

What the publisher says

From the Streamparse repository's README, as published. We do not edit it. Read it on GitHub

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

parsepartialjson

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
}

extractjsonfrom_text

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

Sure, here you go:

{ "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 claudedesktopconfig.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.

Nothing above is checked by us. What we check is on the safety report.

Streamparse: common questions

Is Streamparse MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Streamparse safety report
How do I install Streamparse?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Streamparse need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Streamparse maintained?
The last commit was 58 days ago (2026-09-05). The latest release is v1.0.1.
What can I use instead of Streamparse?
Servers from other publishers that do the same job: Agent-Native Plan MCP server, llmtrim MCP server and Ausca MCP server.
How does Streamparse compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,464 AI and agents servers); tools 3 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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