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CounselorAI

REMOTE · API.COUNSELORAI.APP

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

0 this week 89 Trust /100

Last scanned (22 hours ago)

Scores higher than 97% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Education and Research

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security89
Transport & Reachability100
Schema Quality & AI Usability65
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2460 tokens (~189/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage97
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 91% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
What we tested

Checks we ran (13)

  • TLS certificate
  • Authorization
  • HTTPS
  • HSTS header
  • DNSSEC
  • Transport
  • Schema quality
  • Stability
  • Tool coverage
  • Injection markers
  • Destructive annotations
  • Judged manipulation
  • MCP protocol

Does not apply to this hosted endpoint (2)

  • Supply Chain SecurityScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.
  • Provenance & TransparencyScored on package channels only. This is a hosted endpoint, so there is nothing to install or inspect.

The score does not measure everything. What the score does not measure →

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 7 Oct 26 0
    • Tool “scholarship” rewrote its description, which is the text the model reads security
    • Tool “scholarship” changed its title: Scholarship matching → Scholarship research links cosmetic
  • 2 Oct 26 0
    • Stability: 0.97 → pass security
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 15 Sept 26 0
    • The server rewrote its instructions, which are the text every model session reads security
  • 6 Sept 26 0
    • Tool “awardlens” rewrote its description, which is the text the model reads security
    • “awardlens” reworded the description of “scorecardData” cosmetic
  • 3 Sept 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 2 Sept 26 0

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://api.counselorai.app/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=counselorai.app CN=YE1,O=Let's Encrypt,C=US 14 Sept 2026 13 Dec 2026 ECDSA 256 ECDSA-SHA384 6cc79e510c83baa0aa00756d540c1a0c277
SANs: *.counselorai.app, counselorai.app, counselordesk.app, www.counselordesk.app
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.counselorai.app. — Not signed

Zone DS Keys Algorithms Outcome
. Trust anchor 20326, 38696 8, 8 Verified
app. DS published 23684 8 Verified
counselorai.app. No DS Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Challenged, unverified

The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.

Result Challenged, unverified
Enforced On tool calls
HTTP status 200
Header Value
strict-transport-security max-age=31536000

Protected resource metadata

Retrieved No
Problem No resource metadata

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.counselorai.app/mcp Verified 200
http (plaintext) http://api.counselorai.app/mcp HTTPS enforced 301 https://api.counselorai.app/mcp
MCP tools · 13 exposed · ~2,427 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
account_balance ~29

Free. Returns the credits left on this API key. Call it before a long run of billed calls.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

aid ~197

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.

NameTypeReqDescription
contextstring–Household situation that affects the estimate.
fafsaContextstring–What is already known from the FAFSA, including the SAI if it has come back.
incomestring–Household income, as the family stated it.
repayContextstring–What the family has said about borrowing and what they can carry.
schoolCountinteger–How many schools are being compared.
schoolSummariesstring–One line per school: name, cost of attendance, anything already known about the offer.
studentNamestring–The student this is about. Used in the output text.

No output schema declared.

No examples provided.

appeal ~394

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 pipeline, so it is the most expensive tool here and the slowest, typically 30 to 60 seconds. Cost: about 353 credits (~$0.353) per call.

NameTypeReqDescription
amountNeededstring–The gap being asked for.
appealTypestring–What the appeal rests on. changed_circumstances is income loss or a new expense since the FAFSA, competing_offer is a match request, special_circumstances asks for a Professional Judgment review, err…
competingstring–A competing offer to cite, if there is one.
counselorNamestring–Who the letter is from. The counselor stays the author; this tool drafts, it does not sign.
currentAwardstring–What the school offered, as written on the award letter.
keyDetailsstringyesThe circumstances, in the counselor or family's own words. This is what the letter is built out of, so specifics beat summaries.
lengthstring–Roughly 330, 440 or 560 words.
naturalnessinteger–How plainly the letter should read. 1 is formal institutional, 5 is conversational.
schoolNamestring–The institution the appeal goes to.
statusarray–Student circumstances the letter should carry without labeling them. homeless and housing_insecure are the same category.
studentNamestring–The student this is about. Used in the output text.

No output schema declared.

No examples provided.

awardlens ~203

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 compares them side by side. Read-only. Cost: about 173 credits (~$0.173) per call.

NameTypeReqDescription
letter1stringyesFirst award letter, pasted as plain text.
letter2string–Second award letter, to compare against the first.
letter3string–Third award letter.
scorecardDataarray–Optional College Scorecard lines to ground the comparison: acceptance rate, graduation rate, average net price. Include the original Letter number and school/campus; unverified caller-supplied contex…
studentNamestring–The student this is about. Used in the output text.

No output schema declared.

No examples provided.

fafsa ~243

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.

NameTypeReqDescription
dependencystring–Dependency drives whose income is reported. unsure is a valid answer and changes the checklist.
gradestring–How far out the family is. 12 means act now.
incomestring–Household income band. Drives whether Pell is in play.
notesstring–Anything else that should shape the output.
schoolsstring–Schools on the list, if known. Deadlines differ by school.
specialsarray–Situations that change the filing rules: divorced or separated parents, a stepparent, a sibling also in college, undocumented status, foster care, housing instability, disability, a mid-year income c…
studentNamestring–The student this is about. Used in the output text.
timelinestring–Where they are in the cycle.

No output schema declared.

No examples provided.

humanize ~183

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. Do not use it for code, SQL, JSON, legal text, or technical specifications. Cost: about 413 credits (~$0.413) per call.

NameTypeReqDescription
audiencestring–Who will read the text. This changes vocabulary and formality, not the facts.
preserveFormattingboolean–Keep headings, lists, paragraph breaks, links, and other formatting.
strengthstring–light makes surface fixes, standard rewrites AI-sounding sentences, aggressive may rebuild paragraph flow.
textstringyesThe reader-facing prose to edit.

No output schema declared.

No examples provided.

letterlens ~134

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 (~$0.093) per call.

NameTypeReqDescription
focusstring–A specific thing to look hardest at, if there is one.
letterTextstringyesThe letter to review, as plain text.
purposestring–What the letter is for. A scholarship letter is read differently from a transfer letter.

No output schema declared.

No examples provided.

profile ~208

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.

NameTypeReqDescription
academicsstring–Coursework, GPA, testing, academic trajectory.
activitiesstring––
challengesstring–What the student has had to work around.
goalsstring––
gradestring––
majorstring––
notesstring–Anything else that should shape the output.
schoolstring––
strengthsstring–What the counselor has actually observed, not adjectives.
studentNamestring–The student this is about. Used in the output text.
tagsarray–Background categories. Same vocabulary the scholarship tool uses, so a profile feeds straight into it.

No output schema declared.

No examples provided.

quote_call ~88

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.

NameTypeReqDescription
inputobject–The input you intend to send. Optional; omit for the default estimate.
toolstringyesTool name from tools/list.

No output schema declared.

No examples provided.

rec ~348

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.

NameTypeReqDescription
contributionstring–What the student adds to a campus.
counselorNamestring–Who the letter is from. The counselor stays the author; this tool drafts, it does not sign.
majorstring––
profTypestring–Only when purpose is professional: which professional school, since each reads for different things.
purposestring–What the letter is for. undergraduate, graduate, internship and other are legacy aliases kept working for existing integrations.
recipientstring–Who receives it, if named.
relationshipstring–How the counselor knows the student, and for how long.
resumeTextstring–Resume or activity list as plain text.
sampleTextstring–A sample of the counselor's own writing, so the letter lands in their voice rather than a generic one.
schoolsstring–Target school or program.
selectivitystring–How selective the target is. Shifts how much evidence the letter has to carry.
storystring–A specific moment worth telling. The single highest-value field here.
studentNamestring–The student this is about. Used in the output text.
traitsstringyesThree standout traits. Send prose, not a list of adjectives: the pipeline turns each one into a scene and needs something to work from.

No output schema declared.

No examples provided.

revision ~95

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.

NameTypeReqDescription
currentTextstringyesThe letter as it stands.
instructionstringyesWhat to change. One instruction per call gets a cleaner result than a list.

No output schema declared.

No examples provided.

scholarship ~199

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: about 165 credits (~$0.165) per call.

NameTypeReqDescription
activitiesstring–Extracurriculars and leadership.
backgroundsarray–Eligibility categories that unlock specific award pools.
gpastring––
gradestring–Grade level or transfer status.
majorstring–Intended field. Departmental awards are usually the least contested.
notesstring–Anything else that should shape the output.
statestring–State of residence. State and regional awards have far smaller applicant pools than national ones.
studentNamestring–The student this is about. Used in the output text.

No output schema declared.

No examples provided.

translate ~106

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 (~$0.173) per call.

NameTypeReqDescription
sourceTextstringyesThe text to translate. Usually the output of another tool.
targetLangstringyesTarget language code.

No output schema declared.

No examples provided.

Install

How do I install the CounselorAI MCP server?

CounselorAI is a hosted endpoint at https://api.counselorai.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.counselorai.app

# add to Claude Code
claude mcp add --transport http the-825-counselorai 'https://api.counselorai.app/mcp'
Common questions

What is the CounselorAI MCP server?

CounselorAI is an MCP server listed in the public MCP registry as io.github.The-825/counselorai. College-access writing and financial-aid analysis tools for counselors, students, and families. This page covers its hosted endpoint (https://api.counselorai.app/mcp).

Is the CounselorAI MCP server safe to use?

CounselorAI scores 89 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the CounselorAI MCP server expose?

CounselorAI exposes 13 tools: appeal, rec, letterlens, awardlens, fafsa, and 8 more. Their descriptions and schemas cost roughly 2,427 tokens of context every time the server is loaded.

Does the CounselorAI MCP server require authentication?

Yes. CounselorAI asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

Is the CounselorAI MCP server still maintained?

CounselorAI is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What did VerifyMCP test on the CounselorAI MCP server?

VerifyMCP ran 13 checks on CounselorAI, covering TLS certificate, Authorization, HTTPS, HSTS header and 9 more. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.