Neuronify

MCP (Model Context Protocol)

An open protocol for connecting AI applications to tools and data sources through a standard interface, instead of a custom integration for each pairing.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
13 of 47companies naming it
open roles naming it
28open roles naming it
of those based in NYC
5of those based in NYC
pay: under 8 posted ranges
—pay: under 8 posted ranges

What MCP means

The Model Context Protocol standardizes how a model-driven application discovers and calls external capabilities. A service exposes its functions once, as an MCP server; any compatible client — a coding agent, a chat application, an internal assistant — can then use them. Anthropic introduced it in late 2024 and other model providers and tool vendors have since adopted it.

MCP in New York job posts

13 of the 47 New York AI companies we track name MCP in at least one open role today, across 28 postings. 5 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 82% of the postings that name it are Engineering roles.

AlphaSense alone accounts for 12 of the 28 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.

How to read it

A young term with unusually broad pickup. It appears in two kinds of postings: engineers building agent platforms who need to expose tools, and companies that want their own product reachable from customers’ AI assistants. The second group means product and partnerships roles name it too.

What these roles pay

Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming MCP before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.

Companies naming MCP, daily

Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.

0102013Aug 17Sep 20Aug 17: 13 companiesAug 18: 13 companiesAug 19: 13 companiesAug 20: 13 companiesAug 21: 14 companiesAug 22: 14 companiesAug 23: 14 companiesAug 24: 14 companiesAug 25: 14 companiesAug 26: 14 companiesAug 27: 14 companiesAug 28: 14 companiesAug 29: 14 companiesAug 30: 14 companiesAug 31: 14 companiesSep 1: 14 companiesSep 2: 15 companiesSep 3: 15 companiesSep 4: 15 companiesSep 5: 15 companiesSep 6: 15 companiesSep 7: 14 companiesSep 8: 13 companiesSep 9: 14 companiesSep 10: 14 companiesSep 11: 14 companiesSep 12: 14 companiesSep 13: 14 companiesSep 14: 14 companiesSep 15: 14 companiesSep 16: 13 companiesSep 17: 13 companiesSep 18: 13 companiesSep 19: 13 companiesSep 20: 13 companies
View as table
Datecompanies
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2026-08-1813
2026-08-1913
2026-08-2013
2026-08-2114
2026-08-2214
2026-08-2314
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2026-08-2614
2026-08-2714
2026-08-2814
2026-08-2914
2026-08-3014
2026-08-3114
2026-09-0114
2026-09-0215
2026-09-0315
2026-09-0415
2026-09-0515
2026-09-0615
2026-09-0714
2026-09-0813
2026-09-0914
2026-09-1014
2026-09-1114
2026-09-1214
2026-09-1314
2026-09-1414
2026-09-1514
2026-09-1613
2026-09-1713
2026-09-1813
2026-09-1913
2026-09-2013

Who names it

Open roles naming MCP, by company.

Also: SmarterDx.

Which roles

The same postings, by function and by seniority.

  • Engineering23
  • Product3
  • GTM2
  • Staff/Principal12
  • Mid9
  • Senior6
  • Manager1

Named alongside MCP

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 13 companies pair the two.

Open roles naming MCP

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

MCP — common questions

What does MCP mean in an AI job posting?

An open protocol for connecting AI applications to tools and data sources through a standard interface, instead of a custom integration for each pairing. A young term with unusually broad pickup. It appears in two kinds of postings: engineers building agent platforms who need to expose tools, and companies that want their own product reachable from customers’ AI assistants. The second group means product and partnerships roles name it too.

How many New York AI companies are hiring for MCP?

As of September 20, 2026, 13 of the 47 New York AI companies we track name MCP in the description of at least one open role, across 28 postings (5 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for MCP pay in New York?

We do not publish a pay figure for MCP yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.

Which skills are asked for alongside MCP?

In the same postings, the terms most distinctively paired with MCP are Guardrails, Azure, AI agents, Anthropic, GCP. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.

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