MCP server

CounselorAI

io.github.The-825/counselorai

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

College-access writing and financial-aid analysis tools for counselors, students, and families.

Working at last checkAbout 4,776 tokens per request once connected13 tools

Website

https://api.counselorai.app/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 13
Token cost: About 4,776 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http counselorai https://api.counselorai.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.counselorai]
url = "https://api.counselorai.app/mcp"

Gemini CLI

{"mcpServers":{"counselorai":{"httpUrl":"https://api.counselorai.app/mcp"}}}

Cursor

{"mcpServers":{"counselorai":{"url":"https://api.counselorai.app/mcp"}}}

VS Code

{"servers":{"counselorai":{"type":"http","url":"https://api.counselorai.app/mcp"}}}

Antigravity

agy mcp add counselorai https://api.counselorai.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"counselorai","server_url":"https://api.counselorai.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"counselorai","server_url":"https://api.counselorai.app/mcp"}

Tools

account_balance ~61 tokens
Free. Returns the credits left on this API key. Call it before a long run of billed calls.
aid ~355 tokens
Explain what a family is likely to see across a list of schools and why, in plain language. An explanation for a counselor to walk a family through, never an official determination, and the output says so. Cost: about 73 credits (~$0.073) per call.
appeal ~744 tokens
Draft a financial aid appeal letter to a college financial aid office. Call this when a family needs to ask for a review of an award: income dropped, an expense appeared, another school offered more, or the FAFSA was wrong. Returns the letter, not advice on whether to appeal. Runs a 5-step drafting
awardlens ~359 tokens
Break down one to three financial aid award letters: what is grant, what is loan, what is work-study that has to be earned, what the supported net price is, and what renewal conditions are buried in the language. Identifies missing facts and questions for the aid office. With more than one letter it
fafsa ~499 tokens
Produce a FAFSA action checklist for one student, keyed to their grade, dependency status and income band. Answers the process question a family actually has: what do we do, in what order, by when. Does not compute an award. Cost: about 87 credits (~$0.087) per call.
humanize ~357 tokens
Rewrite reader-facing prose so it sounds direct, specific, and personal without changing facts or inventing a voice. Use it for outreach, emails, letters, posts, and narrative copy. It preserves quoted text and checks the result against the source. It does not evade or promise to beat AI detectors.
letterlens ~292 tokens
Analyze a finished recommendation letter and return specific fixes: what is vague, what is asserted without evidence, what reads as generated. Read-only and far cheaper than drafting. Use it to critique a draft, not to rewrite one, and use revision to apply the fixes. Cost: about 93 credits (~$0.09
profile ~438 tokens
Turn raw counselor notes into a structured student profile. Run this first when working one student across several tools: it is cheap, and its output is good input for the relationship, traits and story fields on rec, or keyDetails on appeal. Cost: about 87 credits (~$0.087) per call.
quote_call ~152 tokens
Free. Validates the input for a tool and returns the exact credit hold a real call would take at your price, plus whether your balance covers it. Use it to budget before a billed call or to lint an input for free.
rec ~691 tokens
Draft a letter of recommendation from counselor notes. Call this to WRITE a letter. To critique one that already exists, call letterlens instead, which is much cheaper. Runs the same 5-step pipeline as appeal. Cost: about 369 credits (~$0.369) per call.
revision ~186 tokens
Apply one instruction to an existing letter and return the revised text. Pair it with letterlens: review to find the problems, revise to fix them. Changes only what the instruction asks for. Cost: about 97 credits (~$0.097) per call.
scholarship ~431 tokens
Search for current scholarship pages to review. A page in the result is a research lead, not a verified match. Confirm program terms, deadline, and student eligibility on the sponsor page before advising the student. Live web search makes this slower and costlier than the other analysis tools. Cost
translate ~211 tokens
Translate counselor-facing output into a family's language, holding the financial aid terms in English on purpose. FAFSA, Pell, SAI, COA and the loan names stay untranslated so a family can match what the school actually sends them against what they were told. Read-only. Cost: about 173 credits (~$

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