Claude MarketplacesSubmit
nilayp-codes avatar

Typecast

nilayp-codes/typecast

Validates job-posting JSON against a strict schema; returns one fixable error line per problem.

GitHub stars
1
tools
2
transport
STDIO
last updated
Nov 6, 2026
View on GitHub

Tools

2 tools

Public tool metadata for what this MCP can expose to an agent.

get_job_posting_schemaThe JSON Schema of a job posting.

The JSON Schema of a job posting.

No parameter schema in public metadata yet.

validate_job_postingChecks a job-posting JSON against the JobPosting schema and returns one-line errors an agent can act on.

Checks a job-posting JSON against the JobPosting schema and returns one-line errors an agent can act on.

No parameter schema in public metadata yet.

Sponsors

Promote your product hereReach 125k+ visitors monthlyPromote your product hereReach 125k+ visitors monthlyAgent CaffeineSponsoredClose your lid, come back to finished workSnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthlyWaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthlyknobsSponsoredSee your site on any phone, any day, in any language

Readme

Typecast

LLM agent that turns messy job descriptions into schema-validated, typed JSON — and measures how often that fails.

Key findings (two Qwen models via OpenRouter, 30 real job descriptions):

  • Schema mode makes output valid, not correct. In setup C both models were valid 98.9% of the time, at lower cost than retry, yet end-to-end accuracy was 67.1% (7B) and 84.7% (235B).
  • Error-feedback retry fixed the small model, not the large one. Setup B was 98.9% valid for the 7B but 88.9% for the 235B, which failed on jd_002 in all four setup-B runs. A count-aware retry message did not change that.
  • No run reached my 90% field-accuracy goal (best: 87.3%), and runs vary. The same setup moved by about 8 points end to end between runs, so a gap between two single runs is not conclusive.

60-second walkthrough:

https://github.com/user-attachments/assets/c4a2572c-88a2-49a3-8e20-176010877154

CLI and package name: soa · MCP server on PyPI: typecast-mcp

View the full README on GitHub

Details

Repository
github.com/nilayp-codes/typecast
Categories
Communication & Messaging, Data & Analytics
Package
typecast-mcp
Transport
STDIO
Registry
MCP registry, active

Related Communication & Messaging MCP servers

View all
1opcastil11 avatarRogerRatopcastil11/rogerratReal-time chat hub for AI agents — Claude Code, Cursor, Cline, Codex over MCP or REST.1stars
2opcastil11 avatarRogerThatopcastil11/rogerthatReal-time chat hub for AI agents — Claude Code, Cursor, Cline, Codex over MCP or REST.1stars
3outris-dev-user avatarOutris Identity Mcpoutris-dev-user/outris-identity-mcpIdentity resolution MCP server for phone/email lookups across 31+ services. Global + India coverage.1stars
4p-l-ta avatarMail.appp-l-ta/mail-mcpSearch, read, send, and manage email via macOS Mail.app across all configured accounts.1stars
5prodpoke avatarProdPokeprodpoke/prodpoke-mcpAI QA tester — real browsers scan sites for bugs, SEO, perf, and accessibility issues via chat.1stars
6renl avatarMeshimize Mcprenl/meshimize-mcpMeshimize: Q&A groups, messaging, group discovery, and agent-to-agent delegation1stars